subject:(Mathematical independent variables)

University of Florida

1. Ying,Lin. Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems.

Degree: MS, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

► In this work, a new algorithm is proposed for automatic differentiation. The new algorithm uses object-oriented MATLAB to generate multi-dimensional derivatives. This work combines the… (more)

Subjects/Keywords: Algorithms; Composite functions; Derivative works; Mathematical constants; Mathematical independent variables; Mathematical variables; Mathematical vectors; Matrices; Nonlinear programming; Scalars

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APA (6^th Edition):

Ying,Lin. (2011). Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0043437

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16^th Edition):

Ying,Lin. “Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems.” 2011. Masters Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0043437.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7^th Edition):

Ying,Lin. “Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems.” 2011. Web. 04 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Ying,Lin. Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems. [Internet] [Masters thesis]. University of Florida; 2011. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0043437.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Ying,Lin. Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems. [Masters Thesis]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0043437

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

University of Florida

2. McGoff, Philip John, 1961-. A unified approach to process optimization.

Degree: PhD, Statistics, 2000, University of Florida

URL: https://ufdc.ufl.edu/AA00038446

Subjects/Keywords: Control variables; Crystals; Experiment design; Mathematical independent variables; Mathematical variables; Noise control; Standard deviation; Statistical discrepancies; Statistics; Subroutines

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APA (6^th Edition):

McGoff, Philip John, 1. (2000). A unified approach to process optimization. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00038446

Chicago Manual of Style (16^th Edition):

McGoff, Philip John, 1961-. “A unified approach to process optimization.” 2000. Doctoral Dissertation, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/AA00038446.

MLA Handbook (7^th Edition):

McGoff, Philip John, 1961-. “A unified approach to process optimization.” 2000. Web. 04 Mar 2021.

Vancouver:

McGoff, Philip John 1. A unified approach to process optimization. [Internet] [Doctoral dissertation]. University of Florida; 2000. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/AA00038446.

Council of Science Editors:

McGoff, Philip John 1. A unified approach to process optimization. [Doctoral Dissertation]. University of Florida; 2000. Available from: https://ufdc.ufl.edu/AA00038446

University of Florida

3. Johmann, Kurt, 1955-. Context-dependent flow-sensitive interprocedural dataflow analysis and its application to slicing and parallelization.

Degree: 1992, University of Florida

URL: https://ufdc.ufl.edu/AA00003273

Subjects/Keywords: Algorithms; Data lines; Experimental results; Linear programming; Logical givens; Logical theorems; Mathematical independent variables; Mathematical procedures; Mathematical variables; Programming languages

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APA (6^th Edition):

Johmann, Kurt, 1. (1992). Context-dependent flow-sensitive interprocedural dataflow analysis and its application to slicing and parallelization. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00003273

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Johmann, Kurt, 1955-. “Context-dependent flow-sensitive interprocedural dataflow analysis and its application to slicing and parallelization.” 1992. Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/AA00003273.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Johmann, Kurt, 1955-. “Context-dependent flow-sensitive interprocedural dataflow analysis and its application to slicing and parallelization.” 1992. Web. 04 Mar 2021.

Vancouver:

Johmann, Kurt 1. Context-dependent flow-sensitive interprocedural dataflow analysis and its application to slicing and parallelization. [Internet] [Thesis]. University of Florida; 1992. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/AA00003273.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Johmann, Kurt 1. Context-dependent flow-sensitive interprocedural dataflow analysis and its application to slicing and parallelization. [Thesis]. University of Florida; 1992. Available from: https://ufdc.ufl.edu/AA00003273

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

4. Sizemore, Glen M. Schedule spaces an empirical and conceptual analysis.

Degree: 1993, University of Florida

URL: https://ufdc.ufl.edu/AA00026646

Subjects/Keywords: Mathematical dependent variables; Mathematical independent variables; Mathematical maxima; Mathematical variables; Pigeons; Rats; Response rates; Systematization of knowledge; Teeth; Theater; Psychology thesis Ph. D; Reinforcement (Psychology)

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APA (6^th Edition):

Sizemore, G. M. (1993). Schedule spaces an empirical and conceptual analysis. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00026646

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sizemore, Glen M. “Schedule spaces an empirical and conceptual analysis.” 1993. Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/AA00026646.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sizemore, Glen M. “Schedule spaces an empirical and conceptual analysis.” 1993. Web. 04 Mar 2021.

Vancouver:

Sizemore GM. Schedule spaces an empirical and conceptual analysis. [Internet] [Thesis]. University of Florida; 1993. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/AA00026646.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sizemore GM. Schedule spaces an empirical and conceptual analysis. [Thesis]. University of Florida; 1993. Available from: https://ufdc.ufl.edu/AA00026646

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

5. Jampani, Ravindranath Chowdary. Efficient Query Processing in MCDB-R.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

URL: https://ufdc.ufl.edu/UFE0044090

► Quantitative risk analysis has become an integral part of large financial institutions. For banking and insurance enterprises, calculating the risk of future insolvency is mandatory… (more)

▼ Quantitative risk analysis has become an integral part of large financial institutions. For banking and insurance enterprises, calculating the risk of future insolvency is mandatory per the regulatory directives such as Solvency and Basel. Performing risk analysis in these enterprises is difficult because the systems are highly complex and have a large number of uncertain variables. One form of risk analysis is in understanding the impact of extreme events that have a low chance of occurrence. The common methods used to estimate this extreme risk come from statistics and rare event simulation fields, and are based on Monte Carlo sampling. However, these sampling-based methods produce huge amounts of data. Therefore, the current implementations of risk analysis methods have scalability problems, particularly as they relate to complex systems with a very large number of variables. Monte Carlo DataBase with Risk analysis (MCDB-R) is a database system designed to facilitate scalable risk analysis on large datasets. MCDB-R combines sampling-based statistical methods and relational database technology for scalability on large uncertain data sets. Uncertainties in data are modeled as probabilistic distributions. A query on this uncertain data with probability distributions results in another probabilistic distribution called query-result distribution. For a given scenario defined by a query, analyzing its extreme events requires examining the upper or lower areas of the query-result distribution, where the events occur with very low probability. The specific methods used in MCDB-R for this analysis are: Gibbs sampling from statistics and cloning from rare-event simulation. These methods are used to efficiently sample from the low probability areas of the query-result distribution for the analysis. This dissertation discusses three improvements to the query processor in MCDB-R. The first technique provides a mechanism to move the sample generation (during the query execution) closer to the location where those samples are actually processed. Huge number of samples are generated during the query execution in MCDB-R, and this new mechanism reduces the sample movement in the memory hierarchy. Response time of the queries is improved significantly; sometimes by an order of magnitude, as shown in the experiments. MCDB-R employs a rejection algorithm at the core of its sampling-based risk analysis. For each uncertain variable, the rejection algorithm looks at a series of samples and discards them unless the sample fits a given constraint. Sometimes the constraints are so stringent that the rejection algorithm needs to process millions of samples before finding a good fit. In MCDB-R, an instance like this will require the same number of samples to be produced for all variables. In the second technique, this problematic instance is isolated from the rest of the query execution and then run separately to find an acceptable fit. The normal execution restarts after finding the required sample. Finally, adding an anti-join operator to… Advisors/Committee Members: Dobra, Alin (committee chair), Ungor, Alper (committee member), Ranka, Sanjay (committee member), Kahveci, Tamer (committee member), Koehler, Gary J (committee member).

Subjects/Keywords: Customers; Databases; Datasets; Identifiers; Information attributes; Mathematical independent variables; Monte Carlo methods; Probability distributions; Risk analysis; Simulations; databases – probabilistic – processing – query – statistical

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APA (6^th Edition):

Jampani, R. C. (2012). Efficient Query Processing in MCDB-R. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044090

Chicago Manual of Style (16^th Edition):

Jampani, Ravindranath Chowdary. “Efficient Query Processing in MCDB-R.” 2012. Doctoral Dissertation, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0044090.

MLA Handbook (7^th Edition):

Jampani, Ravindranath Chowdary. “Efficient Query Processing in MCDB-R.” 2012. Web. 04 Mar 2021.

Vancouver:

Jampani RC. Efficient Query Processing in MCDB-R. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0044090.

Council of Science Editors:

Jampani RC. Efficient Query Processing in MCDB-R. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044090

University of Florida

6. Wernsing, John Robert. Elastic Computing A Framework for Effective Multi-Core Heterogeneous Computing.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Florida

URL: https://ufdc.ufl.edu/UFE0044043

► Due to power limitations and escalating cooling costs, high-performance computing systems can no longer rely on faster clock frequencies and more massive parallelism to meet… (more)

Subjects/Keywords: Data models; Distance functions; Efficiency metrics; Elastic systems; Elasticity of demand; Heuristics; Linear regression; Mathematical independent variables; Microprocessors; Run time; computing – elastic – fpga – gpu – heterogeneous – optimization – racecar – speedup

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APA (6^th Edition):

Wernsing, J. R. (2012). Elastic Computing A Framework for Effective Multi-Core Heterogeneous Computing. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044043

Chicago Manual of Style (16^th Edition):

Wernsing, John Robert. “Elastic Computing A Framework for Effective Multi-Core Heterogeneous Computing.” 2012. Doctoral Dissertation, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0044043.

MLA Handbook (7^th Edition):

Wernsing, John Robert. “Elastic Computing A Framework for Effective Multi-Core Heterogeneous Computing.” 2012. Web. 04 Mar 2021.

Vancouver:

Wernsing JR. Elastic Computing A Framework for Effective Multi-Core Heterogeneous Computing. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0044043.

Council of Science Editors:

Wernsing JR. Elastic Computing A Framework for Effective Multi-Core Heterogeneous Computing. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044043

University of Florida

7. Khare, Yogesh P. Hydrologic and Water Quality Model Reliability With Global Sensitivity Analysis Improvements and Applications.

Degree: PhD, Agricultural and Biological Engineering, 2014, University of Florida

URL: https://ufdc.ufl.edu/UFE0047356

► Hydrologic and water quality (H/WQ) models can well-assess the impacts of natural and anthropogenic disturbances on natural systems. Today, these models have become extremely important… (more)

Subjects/Keywords: Arid zones; Groundwater; Hydrological modeling; Mathematical independent variables; Modeling; Parametric models; Sensitivity analysis; Soils; Trajectories; Watersheds; hydrology – model – reliability – sensitivity – water-quality; Lake Okeechobee ( local )

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APA (6^th Edition):

Khare, Y. P. (2014). Hydrologic and Water Quality Model Reliability With Global Sensitivity Analysis Improvements and Applications. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0047356

Chicago Manual of Style (16^th Edition):

Khare, Yogesh P. “Hydrologic and Water Quality Model Reliability With Global Sensitivity Analysis Improvements and Applications.” 2014. Doctoral Dissertation, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0047356.

MLA Handbook (7^th Edition):

Khare, Yogesh P. “Hydrologic and Water Quality Model Reliability With Global Sensitivity Analysis Improvements and Applications.” 2014. Web. 04 Mar 2021.

Vancouver:

Khare YP. Hydrologic and Water Quality Model Reliability With Global Sensitivity Analysis Improvements and Applications. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0047356.

Council of Science Editors:

Khare YP. Hydrologic and Water Quality Model Reliability With Global Sensitivity Analysis Improvements and Applications. [Doctoral Dissertation]. University of Florida; 2014. Available from: https://ufdc.ufl.edu/UFE0047356

University of Florida

8. SCHUTTE, JACO FRANCOIS ( Author, Primary ). Applications of Parallel Global Optimization to Mechanics Problems.

Degree: University of Florida

URL: https://ufdc.ufl.edu/UFE0012932

Subjects/Keywords: Algorithms; Approximation; Cost functions; Design analysis; Design optimization; Local minimum; Mathematical independent variables; Mathematical variables; Perceptron convergence procedure; Structural deflection

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APA (6^th Edition):

SCHUTTE, JACO FRANCOIS ( Author, P. ). (n.d.). Applications of Parallel Global Optimization to Mechanics Problems. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0012932

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

SCHUTTE, JACO FRANCOIS ( Author, Primary ). “Applications of Parallel Global Optimization to Mechanics Problems.” Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0012932.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

SCHUTTE, JACO FRANCOIS ( Author, Primary ). “Applications of Parallel Global Optimization to Mechanics Problems.” Web. 04 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

SCHUTTE, JACO FRANCOIS ( Author P). Applications of Parallel Global Optimization to Mechanics Problems. [Internet] [Thesis]. University of Florida; [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0012932.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

SCHUTTE, JACO FRANCOIS ( Author P). Applications of Parallel Global Optimization to Mechanics Problems. [Thesis]. University of Florida; Available from: https://ufdc.ufl.edu/UFE0012932

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

University of Florida

9. Athienitis, Demetris J. Estimator Benchmark and Optimal Test for Location to Fechfner-Asymmetry.

Degree: PhD, Statistics, 2011, University of Florida

URL: https://ufdc.ufl.edu/UFE0043580

Robustness measures and procedures have traditionally been developed and Advisors/Committee Members: Randles, Ronald H (committee chair), Daniels, Michael J (committee member), Ghosh, Malay (committee member), Keesling, James E (committee member).

Subjects/Keywords: Asymmetry; Consistent estimators; Distribution functions; Estimators; Mathematical independent variables; Mathematical robustness; Null hypothesis; Random variables; Statistics; Symmetry

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APA (6^th Edition):

Athienitis, D. J. (2011). Estimator Benchmark and Optimal Test for Location to Fechfner-Asymmetry. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0043580

Chicago Manual of Style (16^th Edition):

Athienitis, Demetris J. “Estimator Benchmark and Optimal Test for Location to Fechfner-Asymmetry.” 2011. Doctoral Dissertation, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0043580.

MLA Handbook (7^th Edition):

Athienitis, Demetris J. “Estimator Benchmark and Optimal Test for Location to Fechfner-Asymmetry.” 2011. Web. 04 Mar 2021.

Vancouver:

Athienitis DJ. Estimator Benchmark and Optimal Test for Location to Fechfner-Asymmetry. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0043580.

Council of Science Editors:

Athienitis DJ. Estimator Benchmark and Optimal Test for Location to Fechfner-Asymmetry. [Doctoral Dissertation]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0043580

University of Florida

10. Piepel, Gregory Frank, 1954-. Models and designs for generalizations of mixture experiments where the response depends on the total amount.

Degree: University of Florida

URL: https://ufdc.ufl.edu/UF00102790

Subjects/Keywords: Centroids; Componentwise operations; Experiment design; Factorial design; Mathematical independent variables; Mathematical variables; Modeling; Parametric models; Polynomials; Statistical models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Piepel, Gregory Frank, 1. (n.d.). Models and designs for generalizations of mixture experiments where the response depends on the total amount. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UF00102790

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Piepel, Gregory Frank, 1954-. “Models and designs for generalizations of mixture experiments where the response depends on the total amount.” Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UF00102790.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Piepel, Gregory Frank, 1954-. “Models and designs for generalizations of mixture experiments where the response depends on the total amount.” Web. 04 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Piepel, Gregory Frank 1. Models and designs for generalizations of mixture experiments where the response depends on the total amount. [Internet] [Thesis]. University of Florida; [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UF00102790.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Piepel, Gregory Frank 1. Models and designs for generalizations of mixture experiments where the response depends on the total amount. [Thesis]. University of Florida; Available from: https://ufdc.ufl.edu/UF00102790

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

University of Florida

11. LI, SHUO ( Author, Primary ). OPTCON: An Algorithm for Solving Unconstrained Control Problems.

Degree: University of Florida

URL: https://ufdc.ufl.edu/UFE0014446

Subjects/Keywords: Conjugate gradient method; Control theory; Cost functions; Flow charts; Information search; Mathematical independent variables; Mathematical variables; Optimal control; Orbits; Rocket propulsion

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APA (6^th Edition):

LI, SHUO ( Author, P. ). (n.d.). OPTCON: An Algorithm for Solving Unconstrained Control Problems. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0014446

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

LI, SHUO ( Author, Primary ). “OPTCON: An Algorithm for Solving Unconstrained Control Problems.” Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0014446.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

LI, SHUO ( Author, Primary ). “OPTCON: An Algorithm for Solving Unconstrained Control Problems.” Web. 04 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

LI, SHUO ( Author P). OPTCON: An Algorithm for Solving Unconstrained Control Problems. [Internet] [Thesis]. University of Florida; [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0014446.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

LI, SHUO ( Author P). OPTCON: An Algorithm for Solving Unconstrained Control Problems. [Thesis]. University of Florida; Available from: https://ufdc.ufl.edu/UFE0014446

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

University of Florida

12. Baab, Charles Thomas. Robust stability analysis methods for systems with structured and parametric uncertainties.

Degree: PhD, Chemical Engineering, 2002, University of Florida

URL: https://ufdc.ufl.edu/AA00013545

Subjects/Keywords: Eigenvalues; Eigenvectors; Ellipsoids; Mathematical independent variables; Mathematical maxima; Mathematical robustness; Mathematical vectors; Matrices; Necessary conditions; Parametric models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Baab, C. T. (2002). Robust stability analysis methods for systems with structured and parametric uncertainties. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00013545

Chicago Manual of Style (16^th Edition):

Baab, Charles Thomas. “Robust stability analysis methods for systems with structured and parametric uncertainties.” 2002. Doctoral Dissertation, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/AA00013545.

MLA Handbook (7^th Edition):

Baab, Charles Thomas. “Robust stability analysis methods for systems with structured and parametric uncertainties.” 2002. Web. 04 Mar 2021.

Vancouver:

Baab CT. Robust stability analysis methods for systems with structured and parametric uncertainties. [Internet] [Doctoral dissertation]. University of Florida; 2002. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/AA00013545.

Council of Science Editors:

Baab CT. Robust stability analysis methods for systems with structured and parametric uncertainties. [Doctoral Dissertation]. University of Florida; 2002. Available from: https://ufdc.ufl.edu/AA00013545

University of Florida

13. Cunningham, James Richard, 1942-. Automatic computer generation of solution precedures to large sets of nonlinear simultaneous equations via GENDER.

Degree: 1972, University of Florida

URL: https://ufdc.ufl.edu/UF00098195

Subjects/Keywords: Algorithms; Data types; Design analysis; Integers; Mathematical independent variables; Mathematical variables; Mathematical vectors; Recordings; Subroutines; Tears; Chemical Engineering thesis Ph. D; Equations, Simultaneous

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APA (6^th Edition):

Cunningham, James Richard, 1. (1972). Automatic computer generation of solution precedures to large sets of nonlinear simultaneous equations via GENDER. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UF00098195

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Cunningham, James Richard, 1942-. “Automatic computer generation of solution precedures to large sets of nonlinear simultaneous equations via GENDER.” 1972. Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UF00098195.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Cunningham, James Richard, 1942-. “Automatic computer generation of solution precedures to large sets of nonlinear simultaneous equations via GENDER.” 1972. Web. 04 Mar 2021.

Vancouver:

Cunningham, James Richard 1. Automatic computer generation of solution precedures to large sets of nonlinear simultaneous equations via GENDER. [Internet] [Thesis]. University of Florida; 1972. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UF00098195.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cunningham, James Richard 1. Automatic computer generation of solution precedures to large sets of nonlinear simultaneous equations via GENDER. [Thesis]. University of Florida; 1972. Available from: https://ufdc.ufl.edu/UF00098195

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

14. Wunderli, Thomas. Partial Differential equations-based image processing in the space of bounded variation using selective smoothing functionals for noise removal.

Degree: PhD, Mathematics, 2003, University of Florida

URL: https://ufdc.ufl.edu/AA00040524

Subjects/Keywords: Approximation; Convexity; Data smoothing; Image processing; Images; Mathematical independent variables; Mathematical theorems; Mathematics; Perceptron convergence procedure; Uniqueness

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APA (6^th Edition):

Wunderli, T. (2003). Partial Differential equations-based image processing in the space of bounded variation using selective smoothing functionals for noise removal. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00040524

Chicago Manual of Style (16^th Edition):

Wunderli, Thomas. “Partial Differential equations-based image processing in the space of bounded variation using selective smoothing functionals for noise removal.” 2003. Doctoral Dissertation, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/AA00040524.

MLA Handbook (7^th Edition):

Wunderli, Thomas. “Partial Differential equations-based image processing in the space of bounded variation using selective smoothing functionals for noise removal.” 2003. Web. 04 Mar 2021.

Vancouver:

Wunderli T. Partial Differential equations-based image processing in the space of bounded variation using selective smoothing functionals for noise removal. [Internet] [Doctoral dissertation]. University of Florida; 2003. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/AA00040524.

Council of Science Editors:

Wunderli T. Partial Differential equations-based image processing in the space of bounded variation using selective smoothing functionals for noise removal. [Doctoral Dissertation]. University of Florida; 2003. Available from: https://ufdc.ufl.edu/AA00040524

University of Florida

15. BUGERA, VLADIMIR A. ( Author, Primary ). Mathematical Programming Approaches in Classification and Risk Management.

Degree: University of Florida

URL: https://ufdc.ufl.edu/UFE0006560

Subjects/Keywords: Algorithms; Assets; Credit cards; Credit risk; Datasets; Linear programming; Mathematical independent variables; Mathematical monotonicity; Modeling; Utility functions

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APA (6^th Edition):

BUGERA, VLADIMIR A. ( Author, P. ). (n.d.). Mathematical Programming Approaches in Classification and Risk Management. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0006560

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

BUGERA, VLADIMIR A. ( Author, Primary ). “Mathematical Programming Approaches in Classification and Risk Management.” Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0006560.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

BUGERA, VLADIMIR A. ( Author, Primary ). “Mathematical Programming Approaches in Classification and Risk Management.” Web. 04 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

BUGERA, VLADIMIR A. ( Author P). Mathematical Programming Approaches in Classification and Risk Management. [Internet] [Thesis]. University of Florida; [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0006560.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

BUGERA, VLADIMIR A. ( Author P). Mathematical Programming Approaches in Classification and Risk Management. [Thesis]. University of Florida; Available from: https://ufdc.ufl.edu/UFE0006560

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

University of Florida

16. Mahon, Harry Michael, 1970-. Robust control design for systems subject to ellipsoidal uncertainty.

Degree: PhD, Chemical Engineering, 1998, University of Florida

URL: https://ufdc.ufl.edu/AA00038485

Subjects/Keywords: Control loops; Copyrights; Mathematical independent variables; Mathematical robustness; Matrices; Modeling; Parametric models; Polynomials; Sufficient conditions; Transfer functions

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APA (6^th Edition):

Mahon, Harry Michael, 1. (1998). Robust control design for systems subject to ellipsoidal uncertainty. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00038485

Chicago Manual of Style (16^th Edition):

Mahon, Harry Michael, 1970-. “Robust control design for systems subject to ellipsoidal uncertainty.” 1998. Doctoral Dissertation, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/AA00038485.

MLA Handbook (7^th Edition):

Mahon, Harry Michael, 1970-. “Robust control design for systems subject to ellipsoidal uncertainty.” 1998. Web. 04 Mar 2021.

Vancouver:

Mahon, Harry Michael 1. Robust control design for systems subject to ellipsoidal uncertainty. [Internet] [Doctoral dissertation]. University of Florida; 1998. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/AA00038485.

Council of Science Editors:

Mahon, Harry Michael 1. Robust control design for systems subject to ellipsoidal uncertainty. [Doctoral Dissertation]. University of Florida; 1998. Available from: https://ufdc.ufl.edu/AA00038485

University of Florida

17. Gray, Peter. Predictable projections and predictable dual projections of a two parameter stochastic process.

Degree: PhD, Mathematics, 2006, University of Florida

URL: https://ufdc.ufl.edu/AA00039676

Subjects/Keywords: Banach space; Index sets; Mathematical independent variables; Mathematical theorems; Mathematics; Projection of vectors; Real numbers; Rectangles; Stopping distances; Uniqueness

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APA (6^th Edition):

Gray, P. (2006). Predictable projections and predictable dual projections of a two parameter stochastic process. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00039676

Chicago Manual of Style (16^th Edition):

Gray, Peter. “Predictable projections and predictable dual projections of a two parameter stochastic process.” 2006. Doctoral Dissertation, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/AA00039676.

MLA Handbook (7^th Edition):

Gray, Peter. “Predictable projections and predictable dual projections of a two parameter stochastic process.” 2006. Web. 04 Mar 2021.

Vancouver:

Gray P. Predictable projections and predictable dual projections of a two parameter stochastic process. [Internet] [Doctoral dissertation]. University of Florida; 2006. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/AA00039676.

Council of Science Editors:

Gray P. Predictable projections and predictable dual projections of a two parameter stochastic process. [Doctoral Dissertation]. University of Florida; 2006. Available from: https://ufdc.ufl.edu/AA00039676

University of Florida

18. Chan, Schultz. Convexity and geometry of estimating functions.

Degree: PhD, Statistics, 1996, University of Florida

URL: https://ufdc.ufl.edu/AA00034593

Subjects/Keywords: Estimation theory; Experiment design; Geometry; Inner products; Mathematical independent variables; Mathematical vectors; Projective geometry; Statistical estimation; Statistics; Unbiased estimators

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APA (6^th Edition):

Chan, S. (1996). Convexity and geometry of estimating functions. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00034593

Chicago Manual of Style (16^th Edition):

Chan, Schultz. “Convexity and geometry of estimating functions.” 1996. Doctoral Dissertation, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/AA00034593.

MLA Handbook (7^th Edition):

Chan, Schultz. “Convexity and geometry of estimating functions.” 1996. Web. 04 Mar 2021.

Vancouver:

Chan S. Convexity and geometry of estimating functions. [Internet] [Doctoral dissertation]. University of Florida; 1996. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/AA00034593.

Council of Science Editors:

Chan S. Convexity and geometry of estimating functions. [Doctoral Dissertation]. University of Florida; 1996. Available from: https://ufdc.ufl.edu/AA00034593

University of Florida

19. Lagerwall,Gareth L. Modeling Typha Domingensis in an Everglades Wetland.

Degree: PhD, Agricultural and Biological Engineering, 2011, University of Florida

URL: https://ufdc.ufl.edu/UFE0042568

► The regional simulation model (RSM), developed by the south Florida water management district (SFWMD), was originally coupled with the transport and reaction simulation engine (TARSE)… (more)

▼ The regional simulation model (RSM), developed by the south Florida water management district (SFWMD), was originally coupled with the transport and reaction simulation engine (TARSE) in order to model phosphorus dynamics in an Everglades wetland in Southern Florida, USA. The dynamic nature and user-defined inputs and interactions of this coupled model allowed for adapting it towards modeling ecology. Specifically, it was applied towards modeling Typha domingensis (Southern Cattail, or more generally, cattail) densities across Water Conservation Area 2A (WCA2A). In order to address the issues of complexity, uncertainty, and sensitivity, (i.e. how complex can a model be made in order to reduce uncertainty, while maintaining a relatively low level of sensitivity/instability) five levels of increasing algorithmic complexity were used. The two main factors determining cattail density are water depth and soil phosphorus concentration, and were thus used to inform the levels of complexity. A simple logistic function was used as the Level 1 complexity to model cattail density. Water depth was used to influence the logistic function in the Level 2 complexity. Water depth along with soil phosphorus concentration, were used to influence the logistic function in the Level 3 complexity. An inter-species inhibition factor in the form of a Level 1 Cladium jamaicense (sawgrass) modeled density was used along with water depth and soil phosphorus concentration to influence the logistic function in the Level 4 complexity. And lastly, an inter-species feed-back mechanism was implemented in the Level 5 complexity, which is essentially a Level 4 complexity but with the cattail density negatively influencing the sawgrass density. Vegetation maps for the years 1991, 1995, and 2003 were used for initialization and comparison of model output during training (1991-1995), testing 1 (1991-2003) and testing 2 (1995-2003) simulations. The growth rate value which influences the logistic function throughout all the levels of complexity was calibrated to 6.7*10-9 g/g?s during the training simulation. The difference between model output and historical data was calculated, along with the Moran?s I statistic for spatial correlation, and an abundance-area curve for comparing regional density distribution, and it was determined that Level 4 and Level 5 complexities were best suited for matching the historical data. Spatial uncertainty, through the use of sequential indicator simulation, was used to influence a global uncertainty and sensitivity analysis (GUSA). The variance based Sobol method was used to conduct the GUSA, and it was determined here too that a Level 4 complexity was best suited to model cattail densities in the region ? providing the best balance between complexity, uncertainty and sensitivity. Finally, based on the previous two findings, a Level 4 and Level 5 complexity was used to determine the impact of alternate management scenarios on the area. Scenarios included high, medium, and low, as well as annually alternating (high and low)… Advisors/Committee Members: Kiker, Gregory (committee chair), Hatfield, Kirk (committee member), James, Andrew L (committee member), Wang, Naiming (committee member).

Subjects/Keywords: Ecological modeling; Everglades; Mathematical independent variables; Mathematical variables; Modeling; Phosphorus; Simulations; Soil science; Spatial models; Water depth; ecology – everglades – modeling – typha; Miami metropolitan area ( local )

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APA (6^th Edition):

L, L. (2011). Modeling Typha Domingensis in an Everglades Wetland. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0042568

Chicago Manual of Style (16^th Edition):

L, Lagerwall,Gareth. “Modeling Typha Domingensis in an Everglades Wetland.” 2011. Doctoral Dissertation, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0042568.

MLA Handbook (7^th Edition):

L, Lagerwall,Gareth. “Modeling Typha Domingensis in an Everglades Wetland.” 2011. Web. 04 Mar 2021.

Vancouver:

L L. Modeling Typha Domingensis in an Everglades Wetland. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0042568.

Council of Science Editors:

L L. Modeling Typha Domingensis in an Everglades Wetland. [Doctoral Dissertation]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0042568

University of Florida

20. Davis, Julian Monroe, 1922-. Relationship of selected socioeconomic factors to school fiscal policy.

Degree: 1967, University of Florida

URL: https://ufdc.ufl.edu/AA00052727

Subjects/Keywords: Elasticity of demand; Fiscal policy; Mathematical dependent variables; Mathematical independent variables; Mathematical variables; Raw data; Regression coefficients; Schools; Socioeconomics; Statistical discrepancies; Education – United States; Educational Administration and Supervision thesis Ed. D

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APA (6^th Edition):

Davis, Julian Monroe, 1. (1967). Relationship of selected socioeconomic factors to school fiscal policy. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00052727

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Davis, Julian Monroe, 1922-. “Relationship of selected socioeconomic factors to school fiscal policy.” 1967. Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/AA00052727.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Davis, Julian Monroe, 1922-. “Relationship of selected socioeconomic factors to school fiscal policy.” 1967. Web. 04 Mar 2021.

Vancouver:

Davis, Julian Monroe 1. Relationship of selected socioeconomic factors to school fiscal policy. [Internet] [Thesis]. University of Florida; 1967. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/AA00052727.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Davis, Julian Monroe 1. Relationship of selected socioeconomic factors to school fiscal policy. [Thesis]. University of Florida; 1967. Available from: https://ufdc.ufl.edu/AA00052727

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

21. McAfee, Jackson Kirby, 1939-. A mathematical model for allocation of school resources to optimize a selected output, by Jackson K. McAfee.

Degree: 1972, University of Florida

URL: https://ufdc.ufl.edu/AA00048420

Subjects/Keywords: Educational research; Mathematical independent variables; Mathematical models; Mathematical variables; Multiple regression; Production estimates; Production functions; Regression coefficients; School districts; Schools; Educational Administration and Supervision thesis Ed. D; School management and organization – Mathematical models; City of Gainesville ( local )

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APA (6^th Edition):

McAfee, Jackson Kirby, 1. (1972). A mathematical model for allocation of school resources to optimize a selected output, by Jackson K. McAfee. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00048420

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

McAfee, Jackson Kirby, 1939-. “A mathematical model for allocation of school resources to optimize a selected output, by Jackson K. McAfee.” 1972. Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/AA00048420.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

McAfee, Jackson Kirby, 1939-. “A mathematical model for allocation of school resources to optimize a selected output, by Jackson K. McAfee.” 1972. Web. 04 Mar 2021.

Vancouver:

McAfee, Jackson Kirby 1. A mathematical model for allocation of school resources to optimize a selected output, by Jackson K. McAfee. [Internet] [Thesis]. University of Florida; 1972. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/AA00048420.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

McAfee, Jackson Kirby 1. A mathematical model for allocation of school resources to optimize a selected output, by Jackson K. McAfee. [Thesis]. University of Florida; 1972. Available from: https://ufdc.ufl.edu/AA00048420

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

22. Buntin, Scott McCollum ( Dissertant ). XML Schema inference with XSLT.

Degree: M.S, Computer and Information Science and Engineering, 2001, University of Florida

URL: https://ufdc.ufl.edu/UF00100740

Subjects/Keywords: Children; Data models; Data types; Mathematical independent variables; Names; Personnel evaluation; Plant roots; Proper names; Syntax; XML; XML (Document markup language)

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APA (6^th Edition):

Buntin, S. M. (. D. ). (2001). XML Schema inference with XSLT. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UF00100740

Chicago Manual of Style (16^th Edition):

Buntin, Scott McCollum ( Dissertant ). “XML Schema inference with XSLT.” 2001. Masters Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UF00100740.

MLA Handbook (7^th Edition):

Buntin, Scott McCollum ( Dissertant ). “XML Schema inference with XSLT.” 2001. Web. 04 Mar 2021.

Vancouver:

Buntin SM(D). XML Schema inference with XSLT. [Internet] [Masters thesis]. University of Florida; 2001. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UF00100740.

Council of Science Editors:

Buntin SM(D). XML Schema inference with XSLT. [Masters Thesis]. University of Florida; 2001. Available from: https://ufdc.ufl.edu/UF00100740

University of Florida

23. KURDI, MOHAMMAD H. ( Author, Primary ). Robust Multicriteria Optimization of Surface Location Error and Material Removal Rate in High-Speed Milling under Uncertainty.

Degree: University of Florida

URL: https://ufdc.ufl.edu/UFE0011626

Subjects/Keywords: Cutting tools; Design optimization; Machining; Mathematical independent variables; Matrices; Objective functions; Pareto efficiency; Sensitivity analysis; Speed; Variable coefficients

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APA (6^th Edition):

KURDI, MOHAMMAD H. ( Author, P. ). (n.d.). Robust Multicriteria Optimization of Surface Location Error and Material Removal Rate in High-Speed Milling under Uncertainty. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0011626

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

KURDI, MOHAMMAD H. ( Author, Primary ). “Robust Multicriteria Optimization of Surface Location Error and Material Removal Rate in High-Speed Milling under Uncertainty.” Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0011626.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

KURDI, MOHAMMAD H. ( Author, Primary ). “Robust Multicriteria Optimization of Surface Location Error and Material Removal Rate in High-Speed Milling under Uncertainty.” Web. 04 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

KURDI, MOHAMMAD H. ( Author P). Robust Multicriteria Optimization of Surface Location Error and Material Removal Rate in High-Speed Milling under Uncertainty. [Internet] [Thesis]. University of Florida; [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0011626.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

KURDI, MOHAMMAD H. ( Author P). Robust Multicriteria Optimization of Surface Location Error and Material Removal Rate in High-Speed Milling under Uncertainty. [Thesis]. University of Florida; Available from: https://ufdc.ufl.edu/UFE0011626

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

University of Florida

24. Chen, Haoyi, 1972-. Piecewise Gompertz model on solving cure rate problem.

Degree: PhD, Statistics, 2001, University of Florida

URL: https://ufdc.ufl.edu/AA00039148

Subjects/Keywords: Censorship; Goodbyes; Mathematical independent variables; Multilevel models; Parametric models; Proportions; Reliability functions; Standardized tests; Statistical models; Statistics

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APA (6^th Edition):

Chen, Haoyi, 1. (2001). Piecewise Gompertz model on solving cure rate problem. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00039148

Chicago Manual of Style (16^th Edition):

Chen, Haoyi, 1972-. “Piecewise Gompertz model on solving cure rate problem.” 2001. Doctoral Dissertation, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/AA00039148.

MLA Handbook (7^th Edition):

Chen, Haoyi, 1972-. “Piecewise Gompertz model on solving cure rate problem.” 2001. Web. 04 Mar 2021.

Vancouver:

Chen, Haoyi 1. Piecewise Gompertz model on solving cure rate problem. [Internet] [Doctoral dissertation]. University of Florida; 2001. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/AA00039148.

Council of Science Editors:

Chen, Haoyi 1. Piecewise Gompertz model on solving cure rate problem. [Doctoral Dissertation]. University of Florida; 2001. Available from: https://ufdc.ufl.edu/AA00039148

University of Florida

25. HAMILTON, RYAN K. Modeling Biological Nitrogen Removal with Denitrification Enzyme Parameter Estimation.

Degree: University of Florida

URL: https://ufdc.ufl.edu/UFE0012002

Subjects/Keywords: Biomass; Bioreactors; Enzymes; Mathematical independent variables; Modeling; Nitrates; Nitrogen; Oxygen; Parametric models; Wastewater; City of Gainesville ( local )

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APA (6^th Edition):

HAMILTON, R. K. (n.d.). Modeling Biological Nitrogen Removal with Denitrification Enzyme Parameter Estimation. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0012002

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

HAMILTON, RYAN K. “Modeling Biological Nitrogen Removal with Denitrification Enzyme Parameter Estimation.” Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0012002.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

HAMILTON, RYAN K. “Modeling Biological Nitrogen Removal with Denitrification Enzyme Parameter Estimation.” Web. 04 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

HAMILTON RK. Modeling Biological Nitrogen Removal with Denitrification Enzyme Parameter Estimation. [Internet] [Thesis]. University of Florida; [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0012002.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

HAMILTON RK. Modeling Biological Nitrogen Removal with Denitrification Enzyme Parameter Estimation. [Thesis]. University of Florida; Available from: https://ufdc.ufl.edu/UFE0012002

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

University of Florida

26. Reinbolt, Jeffrey A. ( Author, Primary ). Determination of patient-specific functional axes through two-level optimizations.

Degree: 2003, University of Florida

URL: https://ufdc.ufl.edu/UFE0000889

Subjects/Keywords: Ankle; Ankle joint; Coordinate systems; Hip joint; Kinematics; Knee joint; Knees; Mathematical independent variables; Parametric models; Three dimensional modeling

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APA (6^th Edition):

Reinbolt, Jeffrey A. ( Author, P. ). (2003). Determination of patient-specific functional axes through two-level optimizations. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0000889

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Reinbolt, Jeffrey A. ( Author, Primary ). “Determination of patient-specific functional axes through two-level optimizations.” 2003. Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0000889.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Reinbolt, Jeffrey A. ( Author, Primary ). “Determination of patient-specific functional axes through two-level optimizations.” 2003. Web. 04 Mar 2021.

Vancouver:

Reinbolt, Jeffrey A. ( Author P). Determination of patient-specific functional axes through two-level optimizations. [Internet] [Thesis]. University of Florida; 2003. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0000889.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reinbolt, Jeffrey A. ( Author P). Determination of patient-specific functional axes through two-level optimizations. [Thesis]. University of Florida; 2003. Available from: https://ufdc.ufl.edu/UFE0000889

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

27. Akande, Christiana Aikenosi. Scale Stability Optimal Choices for Anchor Test Length and Equating Links in a Non-Equivalent Anchor Test Design.

Degree: MA, Research and Evaluation Methodology - Human Development and Organizational Studies in Education, 2015, University of Florida

URL: https://ufdc.ufl.edu/UFE0047847

► This study explores optimal choices for the number of anchor items and equating links that yield satisfactorily stable equating results in a Non-Equivalent Anchor Test… (more)

Subjects/Keywords: Educational evaluation; Estimation methods; High school students; Item response theory; Mathematical independent variables; Maximum likelihood estimations; Parametric models; Population estimates; Standard error; Test scores; anchor-test-length – chained-equating – item-parameter-drift – neat-design – scale-stability

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APA (6^th Edition):

Akande, C. A. (2015). Scale Stability Optimal Choices for Anchor Test Length and Equating Links in a Non-Equivalent Anchor Test Design. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0047847

Chicago Manual of Style (16^th Edition):

Akande, Christiana Aikenosi. “Scale Stability Optimal Choices for Anchor Test Length and Equating Links in a Non-Equivalent Anchor Test Design.” 2015. Masters Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0047847.

MLA Handbook (7^th Edition):

Akande, Christiana Aikenosi. “Scale Stability Optimal Choices for Anchor Test Length and Equating Links in a Non-Equivalent Anchor Test Design.” 2015. Web. 04 Mar 2021.

Vancouver:

Akande CA. Scale Stability Optimal Choices for Anchor Test Length and Equating Links in a Non-Equivalent Anchor Test Design. [Internet] [Masters thesis]. University of Florida; 2015. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0047847.

Council of Science Editors:

Akande CA. Scale Stability Optimal Choices for Anchor Test Length and Equating Links in a Non-Equivalent Anchor Test Design. [Masters Thesis]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0047847

University of Florida

28. Ekstrom, Ralph Edwin. Theoretical and experimental investigation of the buckling of thin cylindrical shells subject to combined torsion and uniform external pressure.

Degree: 1960, University of Florida

URL: https://ufdc.ufl.edu/UF00091623

Subjects/Keywords: Buckles; Buckling; Cylinders; Cylindrical shells; Eggshells; Hydrostatic pressure; Hydrostatics; Mathematical independent variables; Stress functions; Structural deflection

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APA (6^th Edition):

Ekstrom, R. E. (1960). Theoretical and experimental investigation of the buckling of thin cylindrical shells subject to combined torsion and uniform external pressure. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UF00091623

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ekstrom, Ralph Edwin. “Theoretical and experimental investigation of the buckling of thin cylindrical shells subject to combined torsion and uniform external pressure.” 1960. Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UF00091623.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ekstrom, Ralph Edwin. “Theoretical and experimental investigation of the buckling of thin cylindrical shells subject to combined torsion and uniform external pressure.” 1960. Web. 04 Mar 2021.

Vancouver:

Ekstrom RE. Theoretical and experimental investigation of the buckling of thin cylindrical shells subject to combined torsion and uniform external pressure. [Internet] [Thesis]. University of Florida; 1960. [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UF00091623.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ekstrom RE. Theoretical and experimental investigation of the buckling of thin cylindrical shells subject to combined torsion and uniform external pressure. [Thesis]. University of Florida; 1960. Available from: https://ufdc.ufl.edu/UF00091623

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

29. HOU, WEI ( Author, Primary ). Functional Mapping of Longitudinal Trajectories with Unevenly and Irregularly Spaced Data.

Degree: University of Florida

URL: https://ufdc.ufl.edu/UFE0013388

Subjects/Keywords: Covariance; Genotypes; Longitudinal data; Mathematical independent variables; Modeling; Parametric models; Phenotypic traits; Quantitative trait loci; Statistical models; Trajectories

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

HOU, WEI ( Author, P. ). (n.d.). Functional Mapping of Longitudinal Trajectories with Unevenly and Irregularly Spaced Data. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0013388

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

HOU, WEI ( Author, Primary ). “Functional Mapping of Longitudinal Trajectories with Unevenly and Irregularly Spaced Data.” Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0013388.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

HOU, WEI ( Author, Primary ). “Functional Mapping of Longitudinal Trajectories with Unevenly and Irregularly Spaced Data.” Web. 04 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

HOU, WEI ( Author P). Functional Mapping of Longitudinal Trajectories with Unevenly and Irregularly Spaced Data. [Internet] [Thesis]. University of Florida; [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0013388.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

HOU, WEI ( Author P). Functional Mapping of Longitudinal Trajectories with Unevenly and Irregularly Spaced Data. [Thesis]. University of Florida; Available from: https://ufdc.ufl.edu/UFE0013388

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

University of Florida

30. WEAVER, ROBERT J. Effect of Wave Forces on Storm Surge.

Degree: University of Florida

URL: https://ufdc.ufl.edu/UFE0003304

Subjects/Keywords: Bathymetry; Harmonics; Hurricanes; Mathematical independent variables; Maxims; Modeling; Storms; Waves; Wind; Wind velocity; Gulf of Mexico ( local )

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

WEAVER, R. J. (n.d.). Effect of Wave Forces on Storm Surge. (Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0003304

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

WEAVER, ROBERT J. “Effect of Wave Forces on Storm Surge.” Thesis, University of Florida. Accessed March 04, 2021. https://ufdc.ufl.edu/UFE0003304.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

WEAVER, ROBERT J. “Effect of Wave Forces on Storm Surge.” Web. 04 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

WEAVER RJ. Effect of Wave Forces on Storm Surge. [Internet] [Thesis]. University of Florida; [cited 2021 Mar 04]. Available from: https://ufdc.ufl.edu/UFE0003304.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

WEAVER RJ. Effect of Wave Forces on Storm Surge. [Thesis]. University of Florida; Available from: https://ufdc.ufl.edu/UFE0003304

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Open Access Theses and Dissertations