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Virginia Tech

1. Neugebauer, Shawn Patrick. Robust Analysis of M-Estimators of Nonlinear Models.

Degree: MS, Electrical and Computer Engineering, 1996, Virginia Tech

URL: http://hdl.handle.net/10919/36557

► Estimation of nonlinear models finds applications in every field of engineering and the sciences. Much work has been done to build solid statistical theories for…
(more)

Subjects/Keywords: nonlinear regression; nonlinear model estimation; robust regression

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APA (6^{th} Edition):

Neugebauer, S. P. (1996). Robust Analysis of M-Estimators of Nonlinear Models. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/36557

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

Neugebauer, Shawn Patrick. “Robust Analysis of M-Estimators of Nonlinear Models.” 1996. Masters Thesis, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/36557.

MLA Handbook (7^{th} Edition):

Neugebauer, Shawn Patrick. “Robust Analysis of M-Estimators of Nonlinear Models.” 1996. Web. 19 Jun 2019.

Vancouver:

Neugebauer SP. Robust Analysis of M-Estimators of Nonlinear Models. [Internet] [Masters thesis]. Virginia Tech; 1996. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/36557.

Council of Science Editors:

Neugebauer SP. Robust Analysis of M-Estimators of Nonlinear Models. [Masters Thesis]. Virginia Tech; 1996. Available from: http://hdl.handle.net/10919/36557

Virginia Tech

2. Ghassemian, Alireza. Robust remote measurement calibration.

Degree: MS, Electrical Engineering, 1995, Virginia Tech

URL: http://hdl.handle.net/10919/41778

► The objective of Remote Measurements Calibration (RMC) method is to minimize systematic errors through an appropriate scaling procedure. A new method for RMC has…
(more)

Subjects/Keywords: calibration; RMC; LD5655.V855 1995.G537

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APA (6^{th} Edition):

Ghassemian, A. (1995). Robust remote measurement calibration. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/41778

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

Ghassemian, Alireza. “Robust remote measurement calibration.” 1995. Masters Thesis, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/41778.

MLA Handbook (7^{th} Edition):

Ghassemian, Alireza. “Robust remote measurement calibration.” 1995. Web. 19 Jun 2019.

Vancouver:

Ghassemian A. Robust remote measurement calibration. [Internet] [Masters thesis]. Virginia Tech; 1995. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/41778.

Council of Science Editors:

Ghassemian A. Robust remote measurement calibration. [Masters Thesis]. Virginia Tech; 1995. Available from: http://hdl.handle.net/10919/41778

Virginia Tech

3. Starnes, Brett Alden. Asymptotic Results for Model Robust Regression.

Degree: PhD, Statistics, 1999, Virginia Tech

URL: http://hdl.handle.net/10919/30244

► Since the mid 1980's many statisticians have studied methods for combining parametric and nonparametric esimates to improve the quality of fits in a regression problem.…
(more)

Subjects/Keywords: Mixing Parameter; Nonparametric; Parametric; Asymptotic; Convergence Rates; Regression; Semiparametric

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APA (6^{th} Edition):

Starnes, B. A. (1999). Asymptotic Results for Model Robust Regression. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/30244

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

Starnes, Brett Alden. “Asymptotic Results for Model Robust Regression.” 1999. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/30244.

MLA Handbook (7^{th} Edition):

Starnes, Brett Alden. “Asymptotic Results for Model Robust Regression.” 1999. Web. 19 Jun 2019.

Vancouver:

Starnes BA. Asymptotic Results for Model Robust Regression. [Internet] [Doctoral dissertation]. Virginia Tech; 1999. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/30244.

Council of Science Editors:

Starnes BA. Asymptotic Results for Model Robust Regression. [Doctoral Dissertation]. Virginia Tech; 1999. Available from: http://hdl.handle.net/10919/30244

Virginia Tech

4. Wang, Shin Cheng. Analysis of Zero-Heavy Data Using a Mixture Model Approach.

Degree: PhD, Statistics, 1998, Virginia Tech

URL: http://hdl.handle.net/10919/30357

► The problem of high proportion of zeroes has long been an interest in data analysis and modeling, however, there are no unique solutions to this…
(more)

Subjects/Keywords: Principal Component Analysis; Longitudinal Data; Inhibition Concentration; Generalized Estimating Equations; Chronic toxicity testing; Ceriodaphnia Dubia; Zero-inflated Poisson

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APA (6^{th} Edition):

Wang, S. C. (1998). Analysis of Zero-Heavy Data Using a Mixture Model Approach. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/30357

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

Wang, Shin Cheng. “Analysis of Zero-Heavy Data Using a Mixture Model Approach.” 1998. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/30357.

MLA Handbook (7^{th} Edition):

Wang, Shin Cheng. “Analysis of Zero-Heavy Data Using a Mixture Model Approach.” 1998. Web. 19 Jun 2019.

Vancouver:

Wang SC. Analysis of Zero-Heavy Data Using a Mixture Model Approach. [Internet] [Doctoral dissertation]. Virginia Tech; 1998. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/30357.

Council of Science Editors:

Wang SC. Analysis of Zero-Heavy Data Using a Mixture Model Approach. [Doctoral Dissertation]. Virginia Tech; 1998. Available from: http://hdl.handle.net/10919/30357

Virginia Tech

5. Kim, Jinhyo. Iterated Grid Search Algorithm on Unimodal Criteria.

Degree: PhD, Statistics, 1997, Virginia Tech

URL: http://hdl.handle.net/10919/30370

► The unimodality of a function seems a simple concept. But in the Euclidean space R^m, m=3,4,..., it is not easy to define. We have an…
(more)

Subjects/Keywords: none; LD5655.V856 1997.K56

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APA (6^{th} Edition):

Kim, J. (1997). Iterated Grid Search Algorithm on Unimodal Criteria. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/30370

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

Kim, Jinhyo. “Iterated Grid Search Algorithm on Unimodal Criteria.” 1997. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/30370.

MLA Handbook (7^{th} Edition):

Kim, Jinhyo. “Iterated Grid Search Algorithm on Unimodal Criteria.” 1997. Web. 19 Jun 2019.

Vancouver:

Kim J. Iterated Grid Search Algorithm on Unimodal Criteria. [Internet] [Doctoral dissertation]. Virginia Tech; 1997. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/30370.

Council of Science Editors:

Kim J. Iterated Grid Search Algorithm on Unimodal Criteria. [Doctoral Dissertation]. Virginia Tech; 1997. Available from: http://hdl.handle.net/10919/30370

Virginia Tech

6. Lee, Yew-Haur Jr. Fisher Information Test of Normality.

Degree: PhD, Statistics, 1998, Virginia Tech

URL: http://hdl.handle.net/10919/30725

► An extremal property of normal distributions is that they have the smallest Fisher Information for location among all distributions with the same variance. A new…
(more)

Subjects/Keywords: Normality testing; Fisher Information for location; Power study; Residuals; Nonparametric density estimation; Calculus of variation

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APA (6^{th} Edition):

Lee, Y. J. (1998). Fisher Information Test of Normality. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/30725

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

Lee, Yew-Haur Jr. “Fisher Information Test of Normality.” 1998. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/30725.

MLA Handbook (7^{th} Edition):

Lee, Yew-Haur Jr. “Fisher Information Test of Normality.” 1998. Web. 19 Jun 2019.

Vancouver:

Lee YJ. Fisher Information Test of Normality. [Internet] [Doctoral dissertation]. Virginia Tech; 1998. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/30725.

Council of Science Editors:

Lee YJ. Fisher Information Test of Normality. [Doctoral Dissertation]. Virginia Tech; 1998. Available from: http://hdl.handle.net/10919/30725

Virginia Tech

7.
Cyterski, Michael John.
Analysis of the Trophic Support Capacity of Smith Mountain Lake, *Virginia*, for Piscivorous Fish.

Degree: PhD, Fisheries and Wildlife Sciences, 1999, Virginia Tech

URL: http://hdl.handle.net/10919/28185

► This investigation examined the adequacy of the forage base to meet current demand of piscivores in Smith Mountain Lake, *Virginia*. Surplus production, or the maximum…
(more)

Subjects/Keywords: Production; Striped Bass; Clupeids; Bioenergetics; Hydroacoustics

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APA (6^{th} Edition):

Cyterski, M. J. (1999). Analysis of the Trophic Support Capacity of Smith Mountain Lake, Virginia, for Piscivorous Fish. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28185

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

Cyterski, Michael John. “Analysis of the Trophic Support Capacity of Smith Mountain Lake, Virginia, for Piscivorous Fish.” 1999. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/28185.

MLA Handbook (7^{th} Edition):

Cyterski, Michael John. “Analysis of the Trophic Support Capacity of Smith Mountain Lake, Virginia, for Piscivorous Fish.” 1999. Web. 19 Jun 2019.

Vancouver:

Cyterski MJ. Analysis of the Trophic Support Capacity of Smith Mountain Lake, Virginia, for Piscivorous Fish. [Internet] [Doctoral dissertation]. Virginia Tech; 1999. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/28185.

Council of Science Editors:

Cyterski MJ. Analysis of the Trophic Support Capacity of Smith Mountain Lake, Virginia, for Piscivorous Fish. [Doctoral Dissertation]. Virginia Tech; 1999. Available from: http://hdl.handle.net/10919/28185

Virginia Tech

8. Darken, Patrick Fitzgerald. Testing for Changes in Trend in Water Quality Data.

Degree: PhD, Statistics, 1999, Virginia Tech

URL: http://hdl.handle.net/10919/28936

► Time Series of water quality variables typically possess many of several characteristics which complicate analysis. Of interest to researchers is often the trend over time…
(more)

Subjects/Keywords: serial correlation

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APA (6^{th} Edition):

Darken, P. F. (1999). Testing for Changes in Trend in Water Quality Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28936

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

Darken, Patrick Fitzgerald. “Testing for Changes in Trend in Water Quality Data.” 1999. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/28936.

MLA Handbook (7^{th} Edition):

Darken, Patrick Fitzgerald. “Testing for Changes in Trend in Water Quality Data.” 1999. Web. 19 Jun 2019.

Vancouver:

Darken PF. Testing for Changes in Trend in Water Quality Data. [Internet] [Doctoral dissertation]. Virginia Tech; 1999. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/28936.

Council of Science Editors:

Darken PF. Testing for Changes in Trend in Water Quality Data. [Doctoral Dissertation]. Virginia Tech; 1999. Available from: http://hdl.handle.net/10919/28936

Virginia Tech

9. Burt, David Allan. Bandwidth Selection Concerns for Jump Point Discontinuity Preservation in the Regression Setting Using M-smoothers and the Extension to hypothesis Testing.

Degree: PhD, Statistics, 2000, Virginia Tech

URL: http://hdl.handle.net/10919/26529

► Most traditional parametric and nonparametric regression methods operate under the assumption that the true function is continuous over the design space. For methods such as…
(more)

Subjects/Keywords: Bootstrap; Critical Bandwidth Testing; Nonparametric Regression; Bandwidth; M-smoother

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APA (6^{th} Edition):

Burt, D. A. (2000). Bandwidth Selection Concerns for Jump Point Discontinuity Preservation in the Regression Setting Using M-smoothers and the Extension to hypothesis Testing. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/26529

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

Burt, David Allan. “Bandwidth Selection Concerns for Jump Point Discontinuity Preservation in the Regression Setting Using M-smoothers and the Extension to hypothesis Testing.” 2000. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/26529.

MLA Handbook (7^{th} Edition):

Burt, David Allan. “Bandwidth Selection Concerns for Jump Point Discontinuity Preservation in the Regression Setting Using M-smoothers and the Extension to hypothesis Testing.” 2000. Web. 19 Jun 2019.

Vancouver:

Burt DA. Bandwidth Selection Concerns for Jump Point Discontinuity Preservation in the Regression Setting Using M-smoothers and the Extension to hypothesis Testing. [Internet] [Doctoral dissertation]. Virginia Tech; 2000. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/26529.

Council of Science Editors:

Burt DA. Bandwidth Selection Concerns for Jump Point Discontinuity Preservation in the Regression Setting Using M-smoothers and the Extension to hypothesis Testing. [Doctoral Dissertation]. Virginia Tech; 2000. Available from: http://hdl.handle.net/10919/26529

Virginia Tech

10. Kim, Donggeon. Least squares mixture decomposition estimation.

Degree: PhD, Statistics, 1995, Virginia Tech

URL: http://hdl.handle.net/10919/37348

► The Least Squares Mixture Decomposition Estimator (LSMDE) is a new nonparametric density estimation technique developed by modifying the ordinary kernel density estimators. While the ordinary…
(more)

Subjects/Keywords: estimators; LD5655.V856 1995.K56

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APA (6^{th} Edition):

Kim, D. (1995). Least squares mixture decomposition estimation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/37348

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

Kim, Donggeon. “Least squares mixture decomposition estimation.” 1995. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/37348.

MLA Handbook (7^{th} Edition):

Kim, Donggeon. “Least squares mixture decomposition estimation.” 1995. Web. 19 Jun 2019.

Vancouver:

Kim D. Least squares mixture decomposition estimation. [Internet] [Doctoral dissertation]. Virginia Tech; 1995. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/37348.

Council of Science Editors:

Kim D. Least squares mixture decomposition estimation. [Doctoral Dissertation]. Virginia Tech; 1995. Available from: http://hdl.handle.net/10919/37348

Virginia Tech

11. Ko, Eunju. Impact of quick response technology based attributes on consumer satisfaction/dissatisfaction among female apparel consumers.

Degree: PhD, Clothing and Textiles, 1995, Virginia Tech

URL: http://hdl.handle.net/10919/37357

► The purpose of this research was to test a conceptual model which examines consumer satisfaction/dissatisfaction (CSID) with apparel retail stores and to investigate the…
(more)

Subjects/Keywords: quick response technology; comsumer satisfaction; apparel; LD5655.V856 1995.K7

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APA (6^{th} Edition):

Ko, E. (1995). Impact of quick response technology based attributes on consumer satisfaction/dissatisfaction among female apparel consumers. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/37357

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

Ko, Eunju. “Impact of quick response technology based attributes on consumer satisfaction/dissatisfaction among female apparel consumers.” 1995. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/37357.

MLA Handbook (7^{th} Edition):

Ko, Eunju. “Impact of quick response technology based attributes on consumer satisfaction/dissatisfaction among female apparel consumers.” 1995. Web. 19 Jun 2019.

Vancouver:

Ko E. Impact of quick response technology based attributes on consumer satisfaction/dissatisfaction among female apparel consumers. [Internet] [Doctoral dissertation]. Virginia Tech; 1995. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/37357.

Council of Science Editors:

Ko E. Impact of quick response technology based attributes on consumer satisfaction/dissatisfaction among female apparel consumers. [Doctoral Dissertation]. Virginia Tech; 1995. Available from: http://hdl.handle.net/10919/37357

Virginia Tech

12. Hughes, Christopher Scott. Variable Sampling Rate Control Charts for Monitoring Process Variance.

Degree: PhD, Statistics, 1999, Virginia Tech

URL: http://hdl.handle.net/10919/37643

► Industrial processes are subject to changes that can adversely affect product quality. A change in the process that increases the variability of the output of…
(more)

Subjects/Keywords: Shewhart chart; integral equation; Markov chain; CUSUM chart; EWMA chart

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APA (6^{th} Edition):

Hughes, C. S. (1999). Variable Sampling Rate Control Charts for Monitoring Process Variance. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/37643

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

Hughes, Christopher Scott. “Variable Sampling Rate Control Charts for Monitoring Process Variance.” 1999. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/37643.

MLA Handbook (7^{th} Edition):

Hughes, Christopher Scott. “Variable Sampling Rate Control Charts for Monitoring Process Variance.” 1999. Web. 19 Jun 2019.

Vancouver:

Hughes CS. Variable Sampling Rate Control Charts for Monitoring Process Variance. [Internet] [Doctoral dissertation]. Virginia Tech; 1999. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/37643.

Council of Science Editors:

Hughes CS. Variable Sampling Rate Control Charts for Monitoring Process Variance. [Doctoral Dissertation]. Virginia Tech; 1999. Available from: http://hdl.handle.net/10919/37643

Virginia Tech

13. Cheniae, Michael G. Real-time implementation of high breakdown point estimators in electric power systems via system decomposition.

Degree: PhD, Electrical Engineering, 1994, Virginia Tech

URL: http://hdl.handle.net/10919/38459

see document
*Advisors/Committee Members: Mili, Lamine M. (committeechair), Phadke, Arun G. (committee member), Coakley, Clint W. (committee member), Liu, Y. A. (committee member), Huang, R. Q. (committee member).*

Subjects/Keywords: Electric power systems; LD5655.V856 1994.C547

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

APA (6^{th} Edition):

Cheniae, M. G. (1994). Real-time implementation of high breakdown point estimators in electric power systems via system decomposition. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/38459

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

Cheniae, Michael G. “Real-time implementation of high breakdown point estimators in electric power systems via system decomposition.” 1994. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/38459.

MLA Handbook (7^{th} Edition):

Cheniae, Michael G. “Real-time implementation of high breakdown point estimators in electric power systems via system decomposition.” 1994. Web. 19 Jun 2019.

Vancouver:

Cheniae MG. Real-time implementation of high breakdown point estimators in electric power systems via system decomposition. [Internet] [Doctoral dissertation]. Virginia Tech; 1994. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/38459.

Council of Science Editors:

Cheniae MG. Real-time implementation of high breakdown point estimators in electric power systems via system decomposition. [Doctoral Dissertation]. Virginia Tech; 1994. Available from: http://hdl.handle.net/10919/38459

Virginia Tech

14. Robinson, Timothy J. Dual Model Robust Regression.

Degree: PhD, Statistics, 2004, Virginia Tech

URL: http://hdl.handle.net/10919/11244

► In typical normal theory regression, the assumption of homogeneity of variances is often not appropriate. Instead of treating the variances as a nuisance and transforming…
(more)

Subjects/Keywords: variance estimation; nonparametric; regression; dual modeling

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

APA (6^{th} Edition):

Robinson, T. J. (2004). Dual Model Robust Regression. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/11244

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

Robinson, Timothy J. “Dual Model Robust Regression.” 2004. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/11244.

MLA Handbook (7^{th} Edition):

Robinson, Timothy J. “Dual Model Robust Regression.” 2004. Web. 19 Jun 2019.

Vancouver:

Robinson TJ. Dual Model Robust Regression. [Internet] [Doctoral dissertation]. Virginia Tech; 2004. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/11244.

Council of Science Editors:

Robinson TJ. Dual Model Robust Regression. [Doctoral Dissertation]. Virginia Tech; 2004. Available from: http://hdl.handle.net/10919/11244

Virginia Tech

15. Steeno, Gregory Sean. Robust and Nonparametric Methods for Topology Error Identification and Voltage Calibration in Power Systems Engineering.

Degree: PhD, Statistics, 1999, Virginia Tech

URL: http://hdl.handle.net/10919/39305

► There is a growing interest in robust and nonparametric methods with engineering applications, due to the nature of the data. Here, we study two…
(more)

Subjects/Keywords: Test Resistance; State Estimation; Rank Tests; Brown-Mood; Friedman

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APA (6^{th} Edition):

Steeno, G. S. (1999). Robust and Nonparametric Methods for Topology Error Identification and Voltage Calibration in Power Systems Engineering. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/39305

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

Steeno, Gregory Sean. “Robust and Nonparametric Methods for Topology Error Identification and Voltage Calibration in Power Systems Engineering.” 1999. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/39305.

MLA Handbook (7^{th} Edition):

Steeno, Gregory Sean. “Robust and Nonparametric Methods for Topology Error Identification and Voltage Calibration in Power Systems Engineering.” 1999. Web. 19 Jun 2019.

Vancouver:

Steeno GS. Robust and Nonparametric Methods for Topology Error Identification and Voltage Calibration in Power Systems Engineering. [Internet] [Doctoral dissertation]. Virginia Tech; 1999. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/39305.

Council of Science Editors:

Steeno GS. Robust and Nonparametric Methods for Topology Error Identification and Voltage Calibration in Power Systems Engineering. [Doctoral Dissertation]. Virginia Tech; 1999. Available from: http://hdl.handle.net/10919/39305

Virginia Tech

16. Ghassemian, Alireza. Robust Statistical Methods for Measurement Calibration in Large Electric Power Systems.

Degree: PhD, Electrical Engineering, 1997, Virginia Tech

URL: http://hdl.handle.net/10919/40527

► The Objective of the Remote Measurements Calibration (RMC) method is to minimize systematic errors through an appropriate scaling procedure. A new method for RMC has…
(more)

Subjects/Keywords: Robust statistic; Measurement calibration

Record Details Similar Records

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

APA (6^{th} Edition):

Ghassemian, A. (1997). Robust Statistical Methods for Measurement Calibration in Large Electric Power Systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/40527

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

Ghassemian, Alireza. “Robust Statistical Methods for Measurement Calibration in Large Electric Power Systems.” 1997. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/40527.

MLA Handbook (7^{th} Edition):

Ghassemian, Alireza. “Robust Statistical Methods for Measurement Calibration in Large Electric Power Systems.” 1997. Web. 19 Jun 2019.

Vancouver:

Ghassemian A. Robust Statistical Methods for Measurement Calibration in Large Electric Power Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 1997. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/40527.

Council of Science Editors:

Ghassemian A. Robust Statistical Methods for Measurement Calibration in Large Electric Power Systems. [Doctoral Dissertation]. Virginia Tech; 1997. Available from: http://hdl.handle.net/10919/40527

Virginia Tech

17. Huffman, Jennifer Wade. Optimal Experimental Design for Poisson Impaired Reproduction Studies.

Degree: PhD, Statistics, 1998, Virginia Tech

URL: http://hdl.handle.net/10919/30751

► Impaired reproduction studies with Poisson responses are among a growing class of toxicity studies in the biological and medical realm. In recent years, little effort…
(more)

Subjects/Keywords: equivalence theory; poisson exponential model; response surface methodology; Bayesian optimal designs

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APA (6^{th} Edition):

Huffman, J. W. (1998). Optimal Experimental Design for Poisson Impaired Reproduction Studies. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/30751

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

Huffman, Jennifer Wade. “Optimal Experimental Design for Poisson Impaired Reproduction Studies.” 1998. Doctoral Dissertation, Virginia Tech. Accessed June 19, 2019. http://hdl.handle.net/10919/30751.

MLA Handbook (7^{th} Edition):

Huffman, Jennifer Wade. “Optimal Experimental Design for Poisson Impaired Reproduction Studies.” 1998. Web. 19 Jun 2019.

Vancouver:

Huffman JW. Optimal Experimental Design for Poisson Impaired Reproduction Studies. [Internet] [Doctoral dissertation]. Virginia Tech; 1998. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10919/30751.

Council of Science Editors:

Huffman JW. Optimal Experimental Design for Poisson Impaired Reproduction Studies. [Doctoral Dissertation]. Virginia Tech; 1998. Available from: http://hdl.handle.net/10919/30751