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Virginia Tech

1. Zhang, Angang. Some Advances in Classifying and Modeling Complex Data.

Degree: PhD, Statistics, 2015, Virginia Tech

URL: http://hdl.handle.net/10919/77958

► In statistical methodology of analyzing data, two of the most commonly used techniques are classification and regression modeling. As scientific technology progresses rapidly, complex data…
(more)

Subjects/Keywords: A/B testing; fraud detection; linear classifier; misclassification error; net profit value; reject inference; sparse linear discriminant analysis; two-class classification; variance component mixed model.

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

APA (6^{th} Edition):

Zhang, A. (2015). Some Advances in Classifying and Modeling Complex Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77958

Chicago Manual of Style (16^{th} Edition):

Zhang, Angang. “Some Advances in Classifying and Modeling Complex Data.” 2015. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/77958.

MLA Handbook (7^{th} Edition):

Zhang, Angang. “Some Advances in Classifying and Modeling Complex Data.” 2015. Web. 25 Oct 2020.

Vancouver:

Zhang A. Some Advances in Classifying and Modeling Complex Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/77958.

Council of Science Editors:

Zhang A. Some Advances in Classifying and Modeling Complex Data. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/77958

Virginia Tech

2. Wang, Sai. GLR Control Charts for Monitoring the Mean Vector or the Dispersion of a Multivariate Normal Process.

Degree: PhD, Statistics, 2012, Virginia Tech

URL: http://hdl.handle.net/10919/77227

► In many applications, the quality of process outputs is described by more than one characteristic variable. These quality variables usually follow a multivariate normal (MN)…
(more)

Subjects/Keywords: Surveillance; Statistical process control; Quality control; Multivariate EWMA; Multivariate CUSUM; Generalized likelihood ratio; Change point; Covariance

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APA (6^{th} Edition):

Wang, S. (2012). GLR Control Charts for Monitoring the Mean Vector or the Dispersion of a Multivariate Normal Process. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77227

Chicago Manual of Style (16^{th} Edition):

Wang, Sai. “GLR Control Charts for Monitoring the Mean Vector or the Dispersion of a Multivariate Normal Process.” 2012. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/77227.

MLA Handbook (7^{th} Edition):

Wang, Sai. “GLR Control Charts for Monitoring the Mean Vector or the Dispersion of a Multivariate Normal Process.” 2012. Web. 25 Oct 2020.

Vancouver:

Wang S. GLR Control Charts for Monitoring the Mean Vector or the Dispersion of a Multivariate Normal Process. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/77227.

Council of Science Editors:

Wang S. GLR Control Charts for Monitoring the Mean Vector or the Dispersion of a Multivariate Normal Process. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/77227

Virginia Tech

3. Velasco-Cruz, Ciro. Spatially Correlated Model Selection (SCOMS).

Degree: PhD, Statistics, 2012, Virginia Tech

URL: http://hdl.handle.net/10919/27791

► In this dissertation, a variable selection method for spatial data is developed. It is assumed that the spatial process is non-stationary as a whole but…
(more)

Subjects/Keywords: Spatial statistics; Ising prior; Non-stationary spatial fields; Variable Selection

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APA (6^{th} Edition):

Velasco-Cruz, C. (2012). Spatially Correlated Model Selection (SCOMS). (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/27791

Chicago Manual of Style (16^{th} Edition):

Velasco-Cruz, Ciro. “Spatially Correlated Model Selection (SCOMS).” 2012. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/27791.

MLA Handbook (7^{th} Edition):

Velasco-Cruz, Ciro. “Spatially Correlated Model Selection (SCOMS).” 2012. Web. 25 Oct 2020.

Vancouver:

Velasco-Cruz C. Spatially Correlated Model Selection (SCOMS). [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/27791.

Council of Science Editors:

Velasco-Cruz C. Spatially Correlated Model Selection (SCOMS). [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/27791

Virginia Tech

4. Vincent, Matthew Timothy. Estimability of natural mortality within a statistical catch-at-age model: a framework and simulation study based on Gulf of Mexico red snapper.

Degree: MS, Fisheries and Wildlife Sciences, 2013, Virginia Tech

URL: http://hdl.handle.net/10919/52244

► Estimation of natural mortality within statistical catch-at-age models has been relatively unsuccessful and is uncommon within stock assessments. The models I created estimated population-dynamics parameters,…
(more)

Subjects/Keywords: red snapper; Lutjanus campechanus; natural mortality; statistical catch-at-age model; stock assessment; population dynamics

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APA (6^{th} Edition):

Vincent, M. T. (2013). Estimability of natural mortality within a statistical catch-at-age model: a framework and simulation study based on Gulf of Mexico red snapper. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52244

Chicago Manual of Style (16^{th} Edition):

Vincent, Matthew Timothy. “Estimability of natural mortality within a statistical catch-at-age model: a framework and simulation study based on Gulf of Mexico red snapper.” 2013. Masters Thesis, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/52244.

MLA Handbook (7^{th} Edition):

Vincent, Matthew Timothy. “Estimability of natural mortality within a statistical catch-at-age model: a framework and simulation study based on Gulf of Mexico red snapper.” 2013. Web. 25 Oct 2020.

Vancouver:

Vincent MT. Estimability of natural mortality within a statistical catch-at-age model: a framework and simulation study based on Gulf of Mexico red snapper. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/52244.

Council of Science Editors:

Vincent MT. Estimability of natural mortality within a statistical catch-at-age model: a framework and simulation study based on Gulf of Mexico red snapper. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/52244

Virginia Tech

5. Szarka, John Louis III. Surveillance of Negative Binomial and Bernoulli Processes.

Degree: PhD, Statistics, 2011, Virginia Tech

URL: http://hdl.handle.net/10919/26617

► The evaluation of discrete processes are performed for industrial and healthcare processes. Count data may be used to measure the number of defective items in…
(more)

Subjects/Keywords: Adaptive threshold; High quality processes; Statistical process control; CUSUM charts; Biosurveillance; W2 method; UGR chart; Attributes data

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

APA (6^{th} Edition):

Szarka, J. L. I. (2011). Surveillance of Negative Binomial and Bernoulli Processes. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/26617

Chicago Manual of Style (16^{th} Edition):

Szarka, John Louis III. “Surveillance of Negative Binomial and Bernoulli Processes.” 2011. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/26617.

MLA Handbook (7^{th} Edition):

Szarka, John Louis III. “Surveillance of Negative Binomial and Bernoulli Processes.” 2011. Web. 25 Oct 2020.

Vancouver:

Szarka JLI. Surveillance of Negative Binomial and Bernoulli Processes. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/26617.

Council of Science Editors:

Szarka JLI. Surveillance of Negative Binomial and Bernoulli Processes. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/26617

Virginia Tech

6. Williams, Matthew Richard. Likelihood-based testing and model selection for hazard functions with unknown change-points.

Degree: PhD, Statistics, 2011, Virginia Tech

URL: http://hdl.handle.net/10919/26835

► The focus of this work is the development of testing procedures for the existence of change-points in parametric hazard models of various types. Hazard functions…
(more)

Subjects/Keywords: Gaussian process; Donsker class; Change-point; hazard function; local asymptotic normality; Likelihood ratio test

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

APA (6^{th} Edition):

Williams, M. R. (2011). Likelihood-based testing and model selection for hazard functions with unknown change-points. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/26835

Chicago Manual of Style (16^{th} Edition):

Williams, Matthew Richard. “Likelihood-based testing and model selection for hazard functions with unknown change-points.” 2011. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/26835.

MLA Handbook (7^{th} Edition):

Williams, Matthew Richard. “Likelihood-based testing and model selection for hazard functions with unknown change-points.” 2011. Web. 25 Oct 2020.

Vancouver:

Williams MR. Likelihood-based testing and model selection for hazard functions with unknown change-points. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/26835.

Council of Science Editors:

Williams MR. Likelihood-based testing and model selection for hazard functions with unknown change-points. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/26835

7. Bedair, Khaled Farag Emam. Statistical Methods for Multi-type Recurrent Event Data Based on Monte Carlo EM Algorithms and Copula Frailties.

Degree: PhD, Statistics, 2014, Virginia Tech

URL: http://hdl.handle.net/10919/64981

► In this dissertation, we are interested in studying processes which generate events repeatedly over the follow-up time of a given subject. Such processes are called…
(more)

Subjects/Keywords: MCEM algorithm; cancer studies; multi-type recurrent events; multivariate frailty; semiparametric model; random effects; copula; survival analysis.

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

APA (6^{th} Edition):

Bedair, K. F. E. (2014). Statistical Methods for Multi-type Recurrent Event Data Based on Monte Carlo EM Algorithms and Copula Frailties. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64981

Chicago Manual of Style (16^{th} Edition):

Bedair, Khaled Farag Emam. “Statistical Methods for Multi-type Recurrent Event Data Based on Monte Carlo EM Algorithms and Copula Frailties.” 2014. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/64981.

MLA Handbook (7^{th} Edition):

Bedair, Khaled Farag Emam. “Statistical Methods for Multi-type Recurrent Event Data Based on Monte Carlo EM Algorithms and Copula Frailties.” 2014. Web. 25 Oct 2020.

Vancouver:

Bedair KFE. Statistical Methods for Multi-type Recurrent Event Data Based on Monte Carlo EM Algorithms and Copula Frailties. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/64981.

Council of Science Editors:

Bedair KFE. Statistical Methods for Multi-type Recurrent Event Data Based on Monte Carlo EM Algorithms and Copula Frailties. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/64981

Virginia Tech

8. Roberts, Lucas R. Variable Selection and Decision Trees: The DiVaS and ALoVaS Methods.

Degree: PhD, Statistics, 2014, Virginia Tech

URL: http://hdl.handle.net/10919/70878

► In this thesis we propose a novel modification to Bayesian decision tree methods. We provide a historical survey of the statistics and computer science research…
(more)

Subjects/Keywords: Statistics; Decision Trees; Variable selection; Additive Logistic Normal

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APA (6^{th} Edition):

Roberts, L. R. (2014). Variable Selection and Decision Trees: The DiVaS and ALoVaS Methods. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/70878

Chicago Manual of Style (16^{th} Edition):

Roberts, Lucas R. “Variable Selection and Decision Trees: The DiVaS and ALoVaS Methods.” 2014. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/70878.

MLA Handbook (7^{th} Edition):

Roberts, Lucas R. “Variable Selection and Decision Trees: The DiVaS and ALoVaS Methods.” 2014. Web. 25 Oct 2020.

Vancouver:

Roberts LR. Variable Selection and Decision Trees: The DiVaS and ALoVaS Methods. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/70878.

Council of Science Editors:

Roberts LR. Variable Selection and Decision Trees: The DiVaS and ALoVaS Methods. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/70878

Virginia Tech

9. Zhang, Huaiye. Bayesian Approach Dealing with Mixture Model Problems.

Degree: PhD, Statistics, 2012, Virginia Tech

URL: http://hdl.handle.net/10919/37681

► In this dissertation, we focus on two research topics related to mixture models. The first topic is Adaptive Rejection Metropolis Simulated Annealing for Detecting Global…
(more)

Subjects/Keywords: Infinite Mixture Model; Hierarchical Model; Nonlinear Mixed Effects Model; Dirichlet Process; Simulated Annealing; Adaptive Rejection Metropolis Sampling

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APA (6^{th} Edition):

Zhang, H. (2012). Bayesian Approach Dealing with Mixture Model Problems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/37681

Chicago Manual of Style (16^{th} Edition):

Zhang, Huaiye. “Bayesian Approach Dealing with Mixture Model Problems.” 2012. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/37681.

MLA Handbook (7^{th} Edition):

Zhang, Huaiye. “Bayesian Approach Dealing with Mixture Model Problems.” 2012. Web. 25 Oct 2020.

Vancouver:

Zhang H. Bayesian Approach Dealing with Mixture Model Problems. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/37681.

Council of Science Editors:

Zhang H. Bayesian Approach Dealing with Mixture Model Problems. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/37681

Virginia Tech

10. Fang, Zaili. Some Advanced Model Selection Topics for Nonparametric/Semiparametric Models with High-Dimensional Data.

Degree: PhD, Statistics, 2012, Virginia Tech

URL: http://hdl.handle.net/10919/40090

► Model and variable selection have attracted considerable attention in areas of application where datasets usually contain thousands of variables. Variable selection is a critical step…
(more)

Subjects/Keywords: Variable Selection; Smoothing Splines; Sparsistency; Semiparametric Model; Pathway Analysis; Additive Model; Cluster Algorithm; Gaussian Random Process; Global-Local Shrinkage; Graphical Model; Ising Model; Kernel Machine; KM Model; LASSO; Long Tail Prior; Mixture Normals; Model Selection; Multivariate Smoothing Function; Nonnegative Garrote; Nonparametric Model

Record Details Similar Records

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APA (6^{th} Edition):

Fang, Z. (2012). Some Advanced Model Selection Topics for Nonparametric/Semiparametric Models with High-Dimensional Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/40090

Chicago Manual of Style (16^{th} Edition):

Fang, Zaili. “Some Advanced Model Selection Topics for Nonparametric/Semiparametric Models with High-Dimensional Data.” 2012. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/40090.

MLA Handbook (7^{th} Edition):

Fang, Zaili. “Some Advanced Model Selection Topics for Nonparametric/Semiparametric Models with High-Dimensional Data.” 2012. Web. 25 Oct 2020.

Vancouver:

Fang Z. Some Advanced Model Selection Topics for Nonparametric/Semiparametric Models with High-Dimensional Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/40090.

Council of Science Editors:

Fang Z. Some Advanced Model Selection Topics for Nonparametric/Semiparametric Models with High-Dimensional Data. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/40090

Virginia Tech

11. Cheng, Lulu. Statistical Methods for Genetic Pathway-Based Data Analysis.

Degree: PhD, Statistics, 2013, Virginia Tech

URL: http://hdl.handle.net/10919/52039

► The wide application of the genomic microarray technology triggers a tremendous need in the development of the high dimensional genetic data analysis. Many statistical methods…
(more)

Subjects/Keywords: Adaptive GLASSO; Gaussian Random Process; Gene Expression Data; GLASSO; Marginal Likelihood; Multi-Level Gaussian Graphical Model; Pathway-Based Analysis; Unknown Link Estimation; Zero Inflated Poisson.

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APA (6^{th} Edition):

Cheng, L. (2013). Statistical Methods for Genetic Pathway-Based Data Analysis. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52039

Chicago Manual of Style (16^{th} Edition):

Cheng, Lulu. “Statistical Methods for Genetic Pathway-Based Data Analysis.” 2013. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/52039.

MLA Handbook (7^{th} Edition):

Cheng, Lulu. “Statistical Methods for Genetic Pathway-Based Data Analysis.” 2013. Web. 25 Oct 2020.

Vancouver:

Cheng L. Statistical Methods for Genetic Pathway-Based Data Analysis. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/52039.

Council of Science Editors:

Cheng L. Statistical Methods for Genetic Pathway-Based Data Analysis. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/52039

Virginia Tech

12. Mahmoud, Hamdy Fayez Farahat. Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data.

Degree: PhD, Statistics, 2014, Virginia Tech

URL: http://hdl.handle.net/10919/76744

► Semiparametric modeling is a hybrid of the parametric and nonparametric modelings where some function forms are known and others are unknown. In this dissertation, we…
(more)

Subjects/Keywords: Change Point; Generalized Linear Model; Generalized Additive Model; Markov Chain Expectation Maximization; Mixed model; Permutation Test; Semiparametric regression; Single Index model; Spatially correlated data; Spatio-temporal data.

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

APA (6^{th} Edition):

Mahmoud, H. F. F. (2014). Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76744

Chicago Manual of Style (16^{th} Edition):

Mahmoud, Hamdy Fayez Farahat. “Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data.” 2014. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/76744.

MLA Handbook (7^{th} Edition):

Mahmoud, Hamdy Fayez Farahat. “Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data.” 2014. Web. 25 Oct 2020.

Vancouver:

Mahmoud HFF. Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/76744.

Council of Science Editors:

Mahmoud HFF. Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/76744

Virginia Tech

13. Fry, James Thomas. Hierarchical Gaussian Processes for Spatially Dependent Model Selection.

Degree: PhD, Statistics, 2018, Virginia Tech

URL: http://hdl.handle.net/10919/84161

► In this dissertation, we develop a model selection and estimation methodology for nonstationary spatial fields. Large, spatially correlated data often cover a vast geographical area.…
(more)

Subjects/Keywords: spatial statistics; Gaussian process; model selection; nonstationary process; Ising distribution; CAR model

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

APA (6^{th} Edition):

Fry, J. T. (2018). Hierarchical Gaussian Processes for Spatially Dependent Model Selection. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/84161

Chicago Manual of Style (16^{th} Edition):

Fry, James Thomas. “Hierarchical Gaussian Processes for Spatially Dependent Model Selection.” 2018. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/84161.

MLA Handbook (7^{th} Edition):

Fry, James Thomas. “Hierarchical Gaussian Processes for Spatially Dependent Model Selection.” 2018. Web. 25 Oct 2020.

Vancouver:

Fry JT. Hierarchical Gaussian Processes for Spatially Dependent Model Selection. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/84161.

Council of Science Editors:

Fry JT. Hierarchical Gaussian Processes for Spatially Dependent Model Selection. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/84161

Virginia Tech

14. Schilling, Daniel Edward. Assessment of morphological and molecular genetic variation of freshwater mussel species belonging to the genera Fusconaia, Pleurobema, and Pleuronaia in the upper Tennessee River basin.

Degree: MS, Fisheries and Wildlife Sciences, 2015, Virginia Tech

URL: http://hdl.handle.net/10919/54030

► Select freshwater mussels in the genera Fusconaia, Pleurobema, and Pleuronaia were collected primarily in the upper Tennessee River basin from 2012 to 2014 for phylogenetic…
(more)

Subjects/Keywords: Freshwater Mussels; Fusconaia; Pleurobema; Pleuronaia; Molecular Genetics; Morphometrics; Geometric Morphometrics; Dichotomous Key

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APA (6^{th} Edition):

Schilling, D. E. (2015). Assessment of morphological and molecular genetic variation of freshwater mussel species belonging to the genera Fusconaia, Pleurobema, and Pleuronaia in the upper Tennessee River basin. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/54030

Chicago Manual of Style (16^{th} Edition):

Schilling, Daniel Edward. “Assessment of morphological and molecular genetic variation of freshwater mussel species belonging to the genera Fusconaia, Pleurobema, and Pleuronaia in the upper Tennessee River basin.” 2015. Masters Thesis, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/54030.

MLA Handbook (7^{th} Edition):

Schilling, Daniel Edward. “Assessment of morphological and molecular genetic variation of freshwater mussel species belonging to the genera Fusconaia, Pleurobema, and Pleuronaia in the upper Tennessee River basin.” 2015. Web. 25 Oct 2020.

Vancouver:

Schilling DE. Assessment of morphological and molecular genetic variation of freshwater mussel species belonging to the genera Fusconaia, Pleurobema, and Pleuronaia in the upper Tennessee River basin. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/54030.

Council of Science Editors:

Schilling DE. Assessment of morphological and molecular genetic variation of freshwater mussel species belonging to the genera Fusconaia, Pleurobema, and Pleuronaia in the upper Tennessee River basin. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/54030

Virginia Tech

15. Han, Chao. Bayesian Visual Analytics: Interactive Visualization for High Dimensional Data.

Degree: PhD, Statistics, 2012, Virginia Tech

URL: http://hdl.handle.net/10919/19210

► In light of advancements made in data collection techniques over the past two decades, data mining has become common practice to summarize large, high dimensional…
(more)

Subjects/Keywords: Visual Analytics; Bayesian Methods; Dimension Reduction; Human-computer Interaction

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

APA (6^{th} Edition):

Han, C. (2012). Bayesian Visual Analytics: Interactive Visualization for High Dimensional Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/19210

Chicago Manual of Style (16^{th} Edition):

Han, Chao. “Bayesian Visual Analytics: Interactive Visualization for High Dimensional Data.” 2012. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/19210.

MLA Handbook (7^{th} Edition):

Han, Chao. “Bayesian Visual Analytics: Interactive Visualization for High Dimensional Data.” 2012. Web. 25 Oct 2020.

Vancouver:

Han C. Bayesian Visual Analytics: Interactive Visualization for High Dimensional Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/19210.

Council of Science Editors:

Han C. Bayesian Visual Analytics: Interactive Visualization for High Dimensional Data. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/19210

16. Withers, Urban Samuel. Linking Stream Restoration Success with Watershed, Practice and Design Characteristics.

Degree: MS, Biological Systems Engineering, 2019, Virginia Tech

URL: http://hdl.handle.net/10919/95491

► In the United States, stream restoration is currently a multi-billion-dollar industry. Though it is commonly used as a method for water quality improvement, stormwater management,…
(more)

Subjects/Keywords: Stream Restoration; Restoration Success; Assessment

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

APA (6^{th} Edition):

Withers, U. S. (2019). Linking Stream Restoration Success with Watershed, Practice and Design Characteristics. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/95491

Chicago Manual of Style (16^{th} Edition):

Withers, Urban Samuel. “Linking Stream Restoration Success with Watershed, Practice and Design Characteristics.” 2019. Masters Thesis, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/95491.

MLA Handbook (7^{th} Edition):

Withers, Urban Samuel. “Linking Stream Restoration Success with Watershed, Practice and Design Characteristics.” 2019. Web. 25 Oct 2020.

Vancouver:

Withers US. Linking Stream Restoration Success with Watershed, Practice and Design Characteristics. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/95491.

Council of Science Editors:

Withers US. Linking Stream Restoration Success with Watershed, Practice and Design Characteristics. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/95491

17. Li, Han. Statistical Modeling and Analysis of Bivariate Spatial-Temporal Data with the Application to Stream Temperature Study.

Degree: PhD, Statistics, 2014, Virginia Tech

URL: http://hdl.handle.net/10919/70862

► Water temperature is a critical factor for the quality and biological condition of streams. Among various factors affecting stream water temperature, air temperature is one…
(more)

Subjects/Keywords: Steam Temperature; Varying Coefficient Model; Functional Data Clustering; Missing Data Imputation

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

APA (6^{th} Edition):

Li, H. (2014). Statistical Modeling and Analysis of Bivariate Spatial-Temporal Data with the Application to Stream Temperature Study. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/70862

Chicago Manual of Style (16^{th} Edition):

Li, Han. “Statistical Modeling and Analysis of Bivariate Spatial-Temporal Data with the Application to Stream Temperature Study.” 2014. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/70862.

MLA Handbook (7^{th} Edition):

Li, Han. “Statistical Modeling and Analysis of Bivariate Spatial-Temporal Data with the Application to Stream Temperature Study.” 2014. Web. 25 Oct 2020.

Vancouver:

Li H. Statistical Modeling and Analysis of Bivariate Spatial-Temporal Data with the Application to Stream Temperature Study. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/70862.

Council of Science Editors:

Li H. Statistical Modeling and Analysis of Bivariate Spatial-Temporal Data with the Application to Stream Temperature Study. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/70862

Virginia Tech

18. Maiti, Dipayan. Multiset Model Selection and Averaging, and Interactive Storytelling.

Degree: PhD, Statistics, 2012, Virginia Tech

URL: http://hdl.handle.net/10919/28563

► The Multiset Sampler [Leman et al., 2009] has previously been deployed and developed for efficient sampling from complex stochastic processes. We extend the sampler and…
(more)

Subjects/Keywords: supervised topic modeling; visual analytics; bayesian model averaging; Bayesian mode selection

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APA (6^{th} Edition):

Maiti, D. (2012). Multiset Model Selection and Averaging, and Interactive Storytelling. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28563

Chicago Manual of Style (16^{th} Edition):

Maiti, Dipayan. “Multiset Model Selection and Averaging, and Interactive Storytelling.” 2012. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/28563.

MLA Handbook (7^{th} Edition):

Maiti, Dipayan. “Multiset Model Selection and Averaging, and Interactive Storytelling.” 2012. Web. 25 Oct 2020.

Vancouver:

Maiti D. Multiset Model Selection and Averaging, and Interactive Storytelling. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/28563.

Council of Science Editors:

Maiti D. Multiset Model Selection and Averaging, and Interactive Storytelling. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/28563

Virginia Tech

19. Mishra, Anurag. Estimating Uncertainty in HSPF based Water Quality Model: Application of Monte-Carlo Based Techniques.

Degree: PhD, Biological Systems Engineering, 2011, Virginia Tech

URL: http://hdl.handle.net/10919/28777

► To propose a methodology for the uncertainty estimation in water quality modeling as related to TMDL development, four Monte Carlo (MC) based techniquesâ single-phase MC,…
(more)

Subjects/Keywords: water quality modeling; TMDL; fecal coliform; HSPF; uncertainty analysis; Monte-Carlo; Bayesian techniques; GLUE; MCMC; two-phase Monte Carlo analysis

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

APA (6^{th} Edition):

Mishra, A. (2011). Estimating Uncertainty in HSPF based Water Quality Model: Application of Monte-Carlo Based Techniques. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28777

Chicago Manual of Style (16^{th} Edition):

Mishra, Anurag. “Estimating Uncertainty in HSPF based Water Quality Model: Application of Monte-Carlo Based Techniques.” 2011. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/28777.

MLA Handbook (7^{th} Edition):

Mishra, Anurag. “Estimating Uncertainty in HSPF based Water Quality Model: Application of Monte-Carlo Based Techniques.” 2011. Web. 25 Oct 2020.

Vancouver:

Mishra A. Estimating Uncertainty in HSPF based Water Quality Model: Application of Monte-Carlo Based Techniques. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/28777.

Council of Science Editors:

Mishra A. Estimating Uncertainty in HSPF based Water Quality Model: Application of Monte-Carlo Based Techniques. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/28777

20. Slifko, Matthew D. The Cauchy-Net Mixture Model for Clustering with Anomalous Data.

Degree: PhD, Statistics, 2019, Virginia Tech

URL: http://hdl.handle.net/10919/93576

► We live in the data explosion era. The unprecedented amount of data offers a potential wealth of knowledge but also brings about concerns regarding ethical…
(more)

Subjects/Keywords: Bayesian Nonparametrics; Dirichlet Process Mixture Model; Clustering; Anomaly Detection

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APA (6^{th} Edition):

Slifko, M. D. (2019). The Cauchy-Net Mixture Model for Clustering with Anomalous Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93576

Chicago Manual of Style (16^{th} Edition):

Slifko, Matthew D. “The Cauchy-Net Mixture Model for Clustering with Anomalous Data.” 2019. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/93576.

MLA Handbook (7^{th} Edition):

Slifko, Matthew D. “The Cauchy-Net Mixture Model for Clustering with Anomalous Data.” 2019. Web. 25 Oct 2020.

Vancouver:

Slifko MD. The Cauchy-Net Mixture Model for Clustering with Anomalous Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/93576.

Council of Science Editors:

Slifko MD. The Cauchy-Net Mixture Model for Clustering with Anomalous Data. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/93576

21. Hatch, Joshua M. The Effects of Ageing Error on Stock Assessment for Weakfish Cynoscion regalis.

Degree: MS, Fisheries and Wildlife Sciences, 2013, Virginia Tech

URL: http://hdl.handle.net/10919/50988

► Inherent uncertainties in the stock assessment for weakfish have precluded accurate and consistent advice concerning the management of commercial and recreational fisheries. Error within ageing…
(more)

Subjects/Keywords: Ageing error; Weakfish; Bayesian; Statistical catch-at-age; Simulation

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APA (6^{th} Edition):

Hatch, J. M. (2013). The Effects of Ageing Error on Stock Assessment for Weakfish Cynoscion regalis. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50988

Chicago Manual of Style (16^{th} Edition):

Hatch, Joshua M. “The Effects of Ageing Error on Stock Assessment for Weakfish Cynoscion regalis.” 2013. Masters Thesis, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/50988.

MLA Handbook (7^{th} Edition):

Hatch, Joshua M. “The Effects of Ageing Error on Stock Assessment for Weakfish Cynoscion regalis.” 2013. Web. 25 Oct 2020.

Vancouver:

Hatch JM. The Effects of Ageing Error on Stock Assessment for Weakfish Cynoscion regalis. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/50988.

Council of Science Editors:

Hatch JM. The Effects of Ageing Error on Stock Assessment for Weakfish Cynoscion regalis. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/50988

22. Crandell, Ian C. Semi-Supervised Anomaly Detection and Heterogeneous Covariance Estimation for Gaussian Processes.

Degree: PhD, Statistics, 2017, Virginia Tech

URL: http://hdl.handle.net/10919/81187

► In this thesis, we propose a statistical framework for estimating correlation between sensor systems measuring diverse physical phenomenon. We consider systems that measure at different…
(more)

Subjects/Keywords: Gaussian processes; heterogeneity; aeroacoustics; semi-supervised learning

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

APA (6^{th} Edition):

Crandell, I. C. (2017). Semi-Supervised Anomaly Detection and Heterogeneous Covariance Estimation for Gaussian Processes. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81187

Chicago Manual of Style (16^{th} Edition):

Crandell, Ian C. “Semi-Supervised Anomaly Detection and Heterogeneous Covariance Estimation for Gaussian Processes.” 2017. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/81187.

MLA Handbook (7^{th} Edition):

Crandell, Ian C. “Semi-Supervised Anomaly Detection and Heterogeneous Covariance Estimation for Gaussian Processes.” 2017. Web. 25 Oct 2020.

Vancouver:

Crandell IC. Semi-Supervised Anomaly Detection and Heterogeneous Covariance Estimation for Gaussian Processes. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/81187.

Council of Science Editors:

Crandell IC. Semi-Supervised Anomaly Detection and Heterogeneous Covariance Estimation for Gaussian Processes. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/81187

23. Hu, Xinran. On Grouped Observation Level Interaction and a Big Data Monte Carlo Sampling Algorithm.

Degree: PhD, Statistics, 2015, Virginia Tech

URL: http://hdl.handle.net/10919/51224

► Big Data is transforming the way we live. From medical care to social networks, data is playing a central role in various applications. As the…
(more)

Subjects/Keywords: Visual Analytics; Big Data Monte Carlo Sampling

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

APA (6^{th} Edition):

Hu, X. (2015). On Grouped Observation Level Interaction and a Big Data Monte Carlo Sampling Algorithm. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51224

Chicago Manual of Style (16^{th} Edition):

Hu, Xinran. “On Grouped Observation Level Interaction and a Big Data Monte Carlo Sampling Algorithm.” 2015. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/51224.

MLA Handbook (7^{th} Edition):

Hu, Xinran. “On Grouped Observation Level Interaction and a Big Data Monte Carlo Sampling Algorithm.” 2015. Web. 25 Oct 2020.

Vancouver:

Hu X. On Grouped Observation Level Interaction and a Big Data Monte Carlo Sampling Algorithm. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/51224.

Council of Science Editors:

Hu X. On Grouped Observation Level Interaction and a Big Data Monte Carlo Sampling Algorithm. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51224

Virginia Tech

24. Li, Zhonggai. Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model.

Degree: PhD, Statistics, 2008, Virginia Tech

URL: http://hdl.handle.net/10919/28121

► This dissertation consists of four independent but related parts, each in a Chapter. The first part is an introductory. It serves as the background introduction…
(more)

Subjects/Keywords: Multivariate Normal Distributions; Monte Carlo; Star-shape Gaussian Graphical Model; Objective Priors; Jeffreys' Priors; Reference Priors; Invariant Haar Prior; Fisher Information Matrix; Frequentist Matching; Kullback-Liebler Divergence

Record Details Similar Records

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

APA (6^{th} Edition):

Li, Z. (2008). Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28121

Chicago Manual of Style (16^{th} Edition):

Li, Zhonggai. “Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model.” 2008. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/28121.

MLA Handbook (7^{th} Edition):

Li, Zhonggai. “Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model.” 2008. Web. 25 Oct 2020.

Vancouver:

Li Z. Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model. [Internet] [Doctoral dissertation]. Virginia Tech; 2008. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/28121.

Council of Science Editors:

Li Z. Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model. [Doctoral Dissertation]. Virginia Tech; 2008. Available from: http://hdl.handle.net/10919/28121

Virginia Tech

25. McGraw, John M. An Investigation into Classification of High Dimensional Frequency Data.

Degree: MS, Statistics, 2001, Virginia Tech

URL: http://hdl.handle.net/10919/35487

► We desire an algorithm to classify a physical object in ``real-time" using an easily portable probing device. The probe excites a given object at frequencies…
(more)

Subjects/Keywords: Multivariate Normal; Frequency Response; Confidence Interval; Data Analysis; Correlation; Maximum Likelihood

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

APA (6^{th} Edition):

McGraw, J. M. (2001). An Investigation into Classification of High Dimensional Frequency Data. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35487

Chicago Manual of Style (16^{th} Edition):

McGraw, John M. “An Investigation into Classification of High Dimensional Frequency Data.” 2001. Masters Thesis, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/35487.

MLA Handbook (7^{th} Edition):

McGraw, John M. “An Investigation into Classification of High Dimensional Frequency Data.” 2001. Web. 25 Oct 2020.

Vancouver:

McGraw JM. An Investigation into Classification of High Dimensional Frequency Data. [Internet] [Masters thesis]. Virginia Tech; 2001. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/35487.

Council of Science Editors:

McGraw JM. An Investigation into Classification of High Dimensional Frequency Data. [Masters Thesis]. Virginia Tech; 2001. Available from: http://hdl.handle.net/10919/35487

Virginia Tech

26.
Gruen, Karen Davis.
Mesoscale temperature estimates for Western * Virginia*.

Degree: MS, Fisheries and Wildlife Sciences, 1993, Virginia Tech

URL: http://hdl.handle.net/10919/44948

► Maximum and minimum temperature for 14 stations in Western *Virginia* were used to develop a temperature estimation model. Locational data such as the UTM…
(more)

Subjects/Keywords: Atmospheric temperature; LD5655.V855 1993.G783

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

APA (6^{th} Edition):

Gruen, K. D. (1993). Mesoscale temperature estimates for Western Virginia. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/44948

Chicago Manual of Style (16^{th} Edition):

Gruen, Karen Davis. “Mesoscale temperature estimates for Western Virginia.” 1993. Masters Thesis, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/44948.

MLA Handbook (7^{th} Edition):

Gruen, Karen Davis. “Mesoscale temperature estimates for Western Virginia.” 1993. Web. 25 Oct 2020.

Vancouver:

Gruen KD. Mesoscale temperature estimates for Western Virginia. [Internet] [Masters thesis]. Virginia Tech; 1993. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/44948.

Council of Science Editors:

Gruen KD. Mesoscale temperature estimates for Western Virginia. [Masters Thesis]. Virginia Tech; 1993. Available from: http://hdl.handle.net/10919/44948

Virginia Tech

27. Lee, Mi Hyun. On Independent Reference Priors.

Degree: PhD, Statistics, 2007, Virginia Tech

URL: http://hdl.handle.net/10919/30096

► In Bayesian inference, the choice of prior has been of great interest. Subjective priors are ideal if sufficient information on priors is available. However, in…
(more)

Subjects/Keywords: Independent reference priors; Reference priors; Probability matching priors

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

APA (6^{th} Edition):

Lee, M. H. (2007). On Independent Reference Priors. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/30096

Chicago Manual of Style (16^{th} Edition):

Lee, Mi Hyun. “On Independent Reference Priors.” 2007. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/30096.

MLA Handbook (7^{th} Edition):

Lee, Mi Hyun. “On Independent Reference Priors.” 2007. Web. 25 Oct 2020.

Vancouver:

Lee MH. On Independent Reference Priors. [Internet] [Doctoral dissertation]. Virginia Tech; 2007. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/30096.

Council of Science Editors:

Lee MH. On Independent Reference Priors. [Doctoral Dissertation]. Virginia Tech; 2007. Available from: http://hdl.handle.net/10919/30096

Virginia Tech

28. Arnegard, Matthew E. Toxicant-releasing substrates: a new method for delivering copper to microbial communities in SITU.

Degree: MS, Biology, 1993, Virginia Tech

URL: http://hdl.handle.net/10919/46238

► Currently, protocols for investigating the effects of chemical pollutants on periphyton communities under natural conditions are statistically flawed and/or potentially harmful to the ecosystems…
(more)

Subjects/Keywords: Copper; LD5655.V855 1993.A764

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APA (6^{th} Edition):

Arnegard, M. E. (1993). Toxicant-releasing substrates: a new method for delivering copper to microbial communities in SITU. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/46238

Chicago Manual of Style (16^{th} Edition):

Arnegard, Matthew E. “Toxicant-releasing substrates: a new method for delivering copper to microbial communities in SITU.” 1993. Masters Thesis, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/46238.

MLA Handbook (7^{th} Edition):

Arnegard, Matthew E. “Toxicant-releasing substrates: a new method for delivering copper to microbial communities in SITU.” 1993. Web. 25 Oct 2020.

Vancouver:

Arnegard ME. Toxicant-releasing substrates: a new method for delivering copper to microbial communities in SITU. [Internet] [Masters thesis]. Virginia Tech; 1993. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/46238.

Council of Science Editors:

Arnegard ME. Toxicant-releasing substrates: a new method for delivering copper to microbial communities in SITU. [Masters Thesis]. Virginia Tech; 1993. Available from: http://hdl.handle.net/10919/46238

Virginia Tech

29. Willey, Katherine Tara. Environmental Factors Determining the Pre-Restoration Benthic Macroinvertebrate Assemblage In A Stream Used By Cattle.

Degree: MS, Entomology, 2008, Virginia Tech

URL: http://hdl.handle.net/10919/35221

► I investigated the baseline benthic macroinvertebrate community in relation to the environmental conditions in a section of *Smith* Creek, north of Harrisonburg, VA, prior to…
(more)

Subjects/Keywords: nutrients; sediment; macroinvertebrates; cattle grazing; recovery; restoration; aquatic ecology

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APA (6^{th} Edition):

Willey, K. T. (2008). Environmental Factors Determining the Pre-Restoration Benthic Macroinvertebrate Assemblage In A Stream Used By Cattle. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35221

Chicago Manual of Style (16^{th} Edition):

Willey, Katherine Tara. “Environmental Factors Determining the Pre-Restoration Benthic Macroinvertebrate Assemblage In A Stream Used By Cattle.” 2008. Masters Thesis, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/35221.

MLA Handbook (7^{th} Edition):

Willey, Katherine Tara. “Environmental Factors Determining the Pre-Restoration Benthic Macroinvertebrate Assemblage In A Stream Used By Cattle.” 2008. Web. 25 Oct 2020.

Vancouver:

Willey KT. Environmental Factors Determining the Pre-Restoration Benthic Macroinvertebrate Assemblage In A Stream Used By Cattle. [Internet] [Masters thesis]. Virginia Tech; 2008. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/35221.

Council of Science Editors:

Willey KT. Environmental Factors Determining the Pre-Restoration Benthic Macroinvertebrate Assemblage In A Stream Used By Cattle. [Masters Thesis]. Virginia Tech; 2008. Available from: http://hdl.handle.net/10919/35221

Virginia Tech

30. Gao, Feng. Clustering Response-Stressor Relationships in Ecological Studies.

Degree: PhD, Statistics, 2007, Virginia Tech

URL: http://hdl.handle.net/10919/28094

► This research is motivated by an issue frequently encountered in water quality monitoring and ecological assessment. One concern for researchers and watershed resource managers is…
(more)

Subjects/Keywords: model selection; CCA; RDA; BCART; Voronoi diagrams; Model based clustering

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

APA (6^{th} Edition):

Gao, F. (2007). Clustering Response-Stressor Relationships in Ecological Studies. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28094

Chicago Manual of Style (16^{th} Edition):

Gao, Feng. “Clustering Response-Stressor Relationships in Ecological Studies.” 2007. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/28094.

MLA Handbook (7^{th} Edition):

Gao, Feng. “Clustering Response-Stressor Relationships in Ecological Studies.” 2007. Web. 25 Oct 2020.

Vancouver:

Gao F. Clustering Response-Stressor Relationships in Ecological Studies. [Internet] [Doctoral dissertation]. Virginia Tech; 2007. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/28094.

Council of Science Editors:

Gao F. Clustering Response-Stressor Relationships in Ecological Studies. [Doctoral Dissertation]. Virginia Tech; 2007. Available from: http://hdl.handle.net/10919/28094