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You searched for +publisher:"Virginia Tech" +contributor:("Hong, Yili"). Showing records 1 – 21 of 21 total matches.

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Virginia Tech

1. Chen, Chen. Evaluating Time-varying Effect in Single-type and Multi-type Semi-parametric Recurrent Event Models.

Degree: PhD, Statistics, 2015, Virginia Tech

 This dissertation aims to develop statistical methodologies for estimating the effects of time-fixed and time-varying factors in recurrent events modeling context. The research is motivated… (more)

Subjects/Keywords: Frailty Model; Generalized Linear Mixed Model; Multi-type Recurrent Event; Naturalistic Driving Study; Penalized B-Spline; Proportional Intensity Function; Stratification; Time-varying Coefficient; Transportation Safety

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APA (6th Edition):

Chen, C. (2015). Evaluating Time-varying Effect in Single-type and Multi-type Semi-parametric Recurrent Event Models. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64371

Chicago Manual of Style (16th Edition):

Chen, Chen. “Evaluating Time-varying Effect in Single-type and Multi-type Semi-parametric Recurrent Event Models.” 2015. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/64371.

MLA Handbook (7th Edition):

Chen, Chen. “Evaluating Time-varying Effect in Single-type and Multi-type Semi-parametric Recurrent Event Models.” 2015. Web. 16 Jul 2019.

Vancouver:

Chen C. Evaluating Time-varying Effect in Single-type and Multi-type Semi-parametric Recurrent Event Models. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/64371.

Council of Science Editors:

Chen C. Evaluating Time-varying Effect in Single-type and Multi-type Semi-parametric Recurrent Event Models. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/64371


Virginia Tech

2. Gao, Zhenguo. Variance Change Point Detection under A Smoothly-changing Mean Trend with Application to Liver Procurement.

Degree: PhD, Statistics, 2018, Virginia Tech

 Literature on change point analysis mostly requires a sudden change in the data distribution, either in a few parameters or the distribution as a whole.… (more)

Subjects/Keywords: Variance change point; Smoothly-changing mean trend; Hypothesis testing in nonparametric smoothing; Change point consistency; Asymptotic null distribution

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APA (6th Edition):

Gao, Z. (2018). Variance Change Point Detection under A Smoothly-changing Mean Trend with Application to Liver Procurement. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82351

Chicago Manual of Style (16th Edition):

Gao, Zhenguo. “Variance Change Point Detection under A Smoothly-changing Mean Trend with Application to Liver Procurement.” 2018. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/82351.

MLA Handbook (7th Edition):

Gao, Zhenguo. “Variance Change Point Detection under A Smoothly-changing Mean Trend with Application to Liver Procurement.” 2018. Web. 16 Jul 2019.

Vancouver:

Gao Z. Variance Change Point Detection under A Smoothly-changing Mean Trend with Application to Liver Procurement. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/82351.

Council of Science Editors:

Gao Z. Variance Change Point Detection under A Smoothly-changing Mean Trend with Application to Liver Procurement. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/82351


Virginia Tech

3. Xu, Yangyi. Frequentist-Bayesian Hybrid Tests in Semi-parametric and Non-parametric Models with Low/High-Dimensional Covariate.

Degree: PhD, Statistics, 2014, Virginia Tech

 We provide a Frequentist-Bayesian hybrid test statistic in this dissertation for two testing problems. The first one is to design a test for the significant… (more)

Subjects/Keywords: Bayes Factor; Bayes Sum Test; Discrete Fourier Transform; Hybrid; Laplace approximation; Neyman Test; Omnibus; Resampling; Score; Single index; Spline Approximation

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APA (6th Edition):

Xu, Y. (2014). Frequentist-Bayesian Hybrid Tests in Semi-parametric and Non-parametric Models with Low/High-Dimensional Covariate. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71285

Chicago Manual of Style (16th Edition):

Xu, Yangyi. “Frequentist-Bayesian Hybrid Tests in Semi-parametric and Non-parametric Models with Low/High-Dimensional Covariate.” 2014. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/71285.

MLA Handbook (7th Edition):

Xu, Yangyi. “Frequentist-Bayesian Hybrid Tests in Semi-parametric and Non-parametric Models with Low/High-Dimensional Covariate.” 2014. Web. 16 Jul 2019.

Vancouver:

Xu Y. Frequentist-Bayesian Hybrid Tests in Semi-parametric and Non-parametric Models with Low/High-Dimensional Covariate. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/71285.

Council of Science Editors:

Xu Y. Frequentist-Bayesian Hybrid Tests in Semi-parametric and Non-parametric Models with Low/High-Dimensional Covariate. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/71285


Virginia Tech

4. Xie, Yimeng. Advancements in Degradation Modeling, Uncertainty Quantification and Spatial Variable Selection.

Degree: PhD, Statistics, 2016, Virginia Tech

 This dissertation focuses on three research projects: 1) construction of simultaneous prediction intervals/bounds for at least k out of m future observations; 2) semi-parametric degradation… (more)

Subjects/Keywords: ADDT; Degradation Model; Spatial Variable Selection; SPI/SPB

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APA (6th Edition):

Xie, Y. (2016). Advancements in Degradation Modeling, Uncertainty Quantification and Spatial Variable Selection. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71687

Chicago Manual of Style (16th Edition):

Xie, Yimeng. “Advancements in Degradation Modeling, Uncertainty Quantification and Spatial Variable Selection.” 2016. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/71687.

MLA Handbook (7th Edition):

Xie, Yimeng. “Advancements in Degradation Modeling, Uncertainty Quantification and Spatial Variable Selection.” 2016. Web. 16 Jul 2019.

Vancouver:

Xie Y. Advancements in Degradation Modeling, Uncertainty Quantification and Spatial Variable Selection. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/71687.

Council of Science Editors:

Xie Y. Advancements in Degradation Modeling, Uncertainty Quantification and Spatial Variable Selection. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71687


Virginia Tech

5. Sun, Jinhui. Robust Feature Screening Procedures for Mixed Type of Data.

Degree: PhD, Statistics, 2016, Virginia Tech

 High dimensional data have been frequently collected in many fields of scientific research and technological development. The traditional idea of best subset selection methods, which… (more)

Subjects/Keywords: ultra-high dimensional variable selection; feature screening; mixed type of data

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APA (6th Edition):

Sun, J. (2016). Robust Feature Screening Procedures for Mixed Type of Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73709

Chicago Manual of Style (16th Edition):

Sun, Jinhui. “Robust Feature Screening Procedures for Mixed Type of Data.” 2016. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/73709.

MLA Handbook (7th Edition):

Sun, Jinhui. “Robust Feature Screening Procedures for Mixed Type of Data.” 2016. Web. 16 Jul 2019.

Vancouver:

Sun J. Robust Feature Screening Procedures for Mixed Type of Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/73709.

Council of Science Editors:

Sun J. Robust Feature Screening Procedures for Mixed Type of Data. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/73709


Virginia Tech

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

Degree: PhD, Statistics, 2015, Virginia Tech

 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 (6th 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 (16th Edition):

Zhang, Angang. “Some Advances in Classifying and Modeling Complex Data.” 2015. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/77958.

MLA Handbook (7th Edition):

Zhang, Angang. “Some Advances in Classifying and Modeling Complex Data.” 2015. Web. 16 Jul 2019.

Vancouver:

Zhang A. Some Advances in Classifying and Modeling Complex Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Jul 16]. 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

7. Li, Qing. Recurrent-Event Models for Change-Points Detection.

Degree: PhD, Statistics, 2015, Virginia Tech

 The driving risk of novice teenagers is the highest during the initial period after licensure but decreases rapidly. This dissertation develops recurrent-event change-point models to… (more)

Subjects/Keywords: Bayesian Finite Mixture Model; Clustering; Constant Piecewise Intensity; Dirichlet Process Mixture Model; Maximum Likelihood Estimate; Naturalistic Teenage Driving Study; Non-Homogeneous Poisson Process

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APA (6th Edition):

Li, Q. (2015). Recurrent-Event Models for Change-Points Detection. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78207

Chicago Manual of Style (16th Edition):

Li, Qing. “Recurrent-Event Models for Change-Points Detection.” 2015. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/78207.

MLA Handbook (7th Edition):

Li, Qing. “Recurrent-Event Models for Change-Points Detection.” 2015. Web. 16 Jul 2019.

Vancouver:

Li Q. Recurrent-Event Models for Change-Points Detection. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/78207.

Council of Science Editors:

Li Q. Recurrent-Event Models for Change-Points Detection. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/78207


Virginia Tech

8. Chen, Tianlei. Cure Rate Models with Nonparametric Form of Covariate Effects.

Degree: PhD, Statistics, 2015, Virginia Tech

 This thesis focuses on development of spline-based hazard estimation models for cure rate data. Such data can be found in survival studies with long term… (more)

Subjects/Keywords: Nonparametric Function Estimation; Smoothing Spline; Penalized Likelihood Method; Survival Analysis; Cure Rate Model

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APA (6th Edition):

Chen, T. (2015). Cure Rate Models with Nonparametric Form of Covariate Effects. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52894

Chicago Manual of Style (16th Edition):

Chen, Tianlei. “Cure Rate Models with Nonparametric Form of Covariate Effects.” 2015. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/52894.

MLA Handbook (7th Edition):

Chen, Tianlei. “Cure Rate Models with Nonparametric Form of Covariate Effects.” 2015. Web. 16 Jul 2019.

Vancouver:

Chen T. Cure Rate Models with Nonparametric Form of Covariate Effects. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/52894.

Council of Science Editors:

Chen T. Cure Rate Models with Nonparametric Form of Covariate Effects. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/52894


Virginia Tech

9. Yuan, Miao. Corporate Default Predictions and Methods for Uncertainty Quantifications.

Degree: PhD, Statistics, 2016, Virginia Tech

 Regarding quantifying uncertainties in prediction, two projects with different perspectives and application backgrounds are presented in this dissertation. The goal of the first project is… (more)

Subjects/Keywords: Default Risk; Dynamic Factor Model; High-Dimensional Time Series; (Log)-Location-Scale Distributions; Tolerance Interval.

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APA (6th Edition):

Yuan, M. (2016). Corporate Default Predictions and Methods for Uncertainty Quantifications. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81905

Chicago Manual of Style (16th Edition):

Yuan, Miao. “Corporate Default Predictions and Methods for Uncertainty Quantifications.” 2016. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/81905.

MLA Handbook (7th Edition):

Yuan, Miao. “Corporate Default Predictions and Methods for Uncertainty Quantifications.” 2016. Web. 16 Jul 2019.

Vancouver:

Yuan M. Corporate Default Predictions and Methods for Uncertainty Quantifications. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/81905.

Council of Science Editors:

Yuan M. Corporate Default Predictions and Methods for Uncertainty Quantifications. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/81905

10. 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

 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 (6th 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 (16th 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 July 16, 2019. http://hdl.handle.net/10919/64981.

MLA Handbook (7th Edition):

Bedair, Khaled Farag Emam. “Statistical Methods for Multi-type Recurrent Event Data Based on Monte Carlo EM Algorithms and Copula Frailties.” 2014. Web. 16 Jul 2019.

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 2019 Jul 16]. 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

11. Peng, Yiming. GLR Control Charts for Process Monitoring with Sequential Sampling.

Degree: PhD, Statistics, 2014, Virginia Tech

 The objective of this dissertation is to investigate GLR control charts based on a sequential sampling scheme (SS GLR charts). Phase II monitoring is considered… (more)

Subjects/Keywords: Average Time to Signal; Generalized Likelihood Ratio; Sequential Sampling; Statistical Process Control; Variable Sampling Rate

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APA (6th Edition):

Peng, Y. (2014). GLR Control Charts for Process Monitoring with Sequential Sampling. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50819

Chicago Manual of Style (16th Edition):

Peng, Yiming. “GLR Control Charts for Process Monitoring with Sequential Sampling.” 2014. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/50819.

MLA Handbook (7th Edition):

Peng, Yiming. “GLR Control Charts for Process Monitoring with Sequential Sampling.” 2014. Web. 16 Jul 2019.

Vancouver:

Peng Y. GLR Control Charts for Process Monitoring with Sequential Sampling. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/50819.

Council of Science Editors:

Peng Y. GLR Control Charts for Process Monitoring with Sequential Sampling. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/50819

12. Xu, Zhibing. Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates.

Degree: PhD, Statistics, 2014, Virginia Tech

 Reliability analysis plays an important role in keeping manufacturers in a competitive position. It can be applied in many areas such as warranty predictions, maintenance… (more)

Subjects/Keywords: Calibration; Covariate process; Degradation path; Failure reporting delay; Multi-level repairable systems; Trend-renewal process; Nonlinear mixed-effects model; Organic coatings; Prediction interval; Weibull distribution

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APA (6th Edition):

Xu, Z. (2014). Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51130

Chicago Manual of Style (16th Edition):

Xu, Zhibing. “Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates.” 2014. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/51130.

MLA Handbook (7th Edition):

Xu, Zhibing. “Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates.” 2014. Web. 16 Jul 2019.

Vancouver:

Xu Z. Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/51130.

Council of Science Editors:

Xu Z. Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/51130


Virginia Tech

13. Kensler, Jennifer Lin Karam. Analysis of Reliability Experiments with Random Blocks and Subsampling.

Degree: PhD, Statistics, 2012, Virginia Tech

 Reliability experiments provide important information regarding the life of a product, including how various factors may affect product life. Current analyses of reliability data usually… (more)

Subjects/Keywords: Design of Experiments; Regression with Lifetime Data; Random Effects; Weibull Distribution

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APA (6th Edition):

Kensler, J. L. K. (2012). Analysis of Reliability Experiments with Random Blocks and Subsampling. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28415

Chicago Manual of Style (16th Edition):

Kensler, Jennifer Lin Karam. “Analysis of Reliability Experiments with Random Blocks and Subsampling.” 2012. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/28415.

MLA Handbook (7th Edition):

Kensler, Jennifer Lin Karam. “Analysis of Reliability Experiments with Random Blocks and Subsampling.” 2012. Web. 16 Jul 2019.

Vancouver:

Kensler JLK. Analysis of Reliability Experiments with Random Blocks and Subsampling. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/28415.

Council of Science Editors:

Kensler JLK. Analysis of Reliability Experiments with Random Blocks and Subsampling. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/28415


Virginia Tech

14. Dickinson, Rebecca. Statistical Methods for Improving and Maintaining Product Reliability.

Degree: PhD, Statistics, 2014, Virginia Tech

 When a reliability experiment is used, practitioners can understand better what lifetimes to expect of a product under different operating conditions and what factors are… (more)

Subjects/Keywords: Censored Data; CUSUM Chart; Design of Experiments; Lifetime Monitoring; Reliability; Split-Plot Design; Weibull Distribution

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APA (6th Edition):

Dickinson, R. (2014). Statistical Methods for Improving and Maintaining Product Reliability. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50516

Chicago Manual of Style (16th Edition):

Dickinson, Rebecca. “Statistical Methods for Improving and Maintaining Product Reliability.” 2014. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/50516.

MLA Handbook (7th Edition):

Dickinson, Rebecca. “Statistical Methods for Improving and Maintaining Product Reliability.” 2014. Web. 16 Jul 2019.

Vancouver:

Dickinson R. Statistical Methods for Improving and Maintaining Product Reliability. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/50516.

Council of Science Editors:

Dickinson R. Statistical Methods for Improving and Maintaining Product Reliability. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/50516


Virginia Tech

15. Freeman, Laura J. Statistical Methods for Reliability Data from Designed Experiments.

Degree: PhD, Statistics, 2010, Virginia Tech

 Product reliability is an important characteristic for all manufacturers, engineers and consumers. Industrial statisticians have been planning experiments for years to improve product quality and… (more)

Subjects/Keywords: Random Effect; Nonlinear Mixed Models; Lifetime Data; Design of Experiments; Weibull Distribution; Weighted Least Squares

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APA (6th Edition):

Freeman, L. J. (2010). Statistical Methods for Reliability Data from Designed Experiments. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/37729

Chicago Manual of Style (16th Edition):

Freeman, Laura J. “Statistical Methods for Reliability Data from Designed Experiments.” 2010. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/37729.

MLA Handbook (7th Edition):

Freeman, Laura J. “Statistical Methods for Reliability Data from Designed Experiments.” 2010. Web. 16 Jul 2019.

Vancouver:

Freeman LJ. Statistical Methods for Reliability Data from Designed Experiments. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/37729.

Council of Science Editors:

Freeman LJ. Statistical Methods for Reliability Data from Designed Experiments. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/37729


Virginia Tech

16. King, Caleb B. Bridging the Gap: Selected Problems in Model Specification, Estimation, and Optimal Design from Reliability and Lifetime Data Analysis.

Degree: PhD, Statistics, 2015, Virginia Tech

 Understanding the lifetime behavior of their products is crucial to the success of any company in the manufacturing and engineering industries. Statistical methods for lifetime… (more)

Subjects/Keywords: Accelerated testing; Competing Risks; Lifetime data analysis; Optimal test planning; Reliability; Statistics

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APA (6th Edition):

King, C. B. (2015). Bridging the Gap: Selected Problems in Model Specification, Estimation, and Optimal Design from Reliability and Lifetime Data Analysis. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73165

Chicago Manual of Style (16th Edition):

King, Caleb B. “Bridging the Gap: Selected Problems in Model Specification, Estimation, and Optimal Design from Reliability and Lifetime Data Analysis.” 2015. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/73165.

MLA Handbook (7th Edition):

King, Caleb B. “Bridging the Gap: Selected Problems in Model Specification, Estimation, and Optimal Design from Reliability and Lifetime Data Analysis.” 2015. Web. 16 Jul 2019.

Vancouver:

King CB. Bridging the Gap: Selected Problems in Model Specification, Estimation, and Optimal Design from Reliability and Lifetime Data Analysis. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/73165.

Council of Science Editors:

King CB. Bridging the Gap: Selected Problems in Model Specification, Estimation, and Optimal Design from Reliability and Lifetime Data Analysis. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/73165

17. Rhodes, Austin James. Accelerated Life Test Modeling Using Median Rank Regression.

Degree: PhD, Statistics, 2016, Virginia Tech

 Accelerated life tests (ALT) are appealing to practitioners seeking to maximize information gleaned from reliability studies, while navigating resource constraints due to time and specimen… (more)

Subjects/Keywords: Accelerated Life Test; Cumulative Exposure; Median Rank Regression

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APA (6th Edition):

Rhodes, A. J. (2016). Accelerated Life Test Modeling Using Median Rank Regression. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73362

Chicago Manual of Style (16th Edition):

Rhodes, Austin James. “Accelerated Life Test Modeling Using Median Rank Regression.” 2016. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/73362.

MLA Handbook (7th Edition):

Rhodes, Austin James. “Accelerated Life Test Modeling Using Median Rank Regression.” 2016. Web. 16 Jul 2019.

Vancouver:

Rhodes AJ. Accelerated Life Test Modeling Using Median Rank Regression. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/73362.

Council of Science Editors:

Rhodes AJ. Accelerated Life Test Modeling Using Median Rank Regression. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/73362


Virginia Tech

18. Zhang, Xiang. Dynamic Probability Control Limits for Risk-Adjusted Bernoulli Cumulative Sum Charts.

Degree: PhD, Statistics, 2015, Virginia Tech

 The risk-adjusted Bernoulli cumulative sum (CUSUM) chart developed by Steiner et al. (2000) is an increasingly popular tool for monitoring clinical and surgical performance. In… (more)

Subjects/Keywords: statistical process control; average run length (ARL); false alarm rate; run length distribution; surgical outcome quality

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

APA (6th Edition):

Zhang, X. (2015). Dynamic Probability Control Limits for Risk-Adjusted Bernoulli Cumulative Sum Charts. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77889

Chicago Manual of Style (16th Edition):

Zhang, Xiang. “Dynamic Probability Control Limits for Risk-Adjusted Bernoulli Cumulative Sum Charts.” 2015. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/77889.

MLA Handbook (7th Edition):

Zhang, Xiang. “Dynamic Probability Control Limits for Risk-Adjusted Bernoulli Cumulative Sum Charts.” 2015. Web. 16 Jul 2019.

Vancouver:

Zhang X. Dynamic Probability Control Limits for Risk-Adjusted Bernoulli Cumulative Sum Charts. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/77889.

Council of Science Editors:

Zhang X. Dynamic Probability Control Limits for Risk-Adjusted Bernoulli Cumulative Sum Charts. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/77889


Virginia Tech

19. Xu, Liaosa. The Design of GLR Control Charts for Process Monitoring.

Degree: PhD, Statistics, 2013, Virginia Tech

 Generalized likelihood ratio (GLR) control charts are investigated for two types of statistical process monitoring (SPC) problems. The first part of this dissertation considers the… (more)

Subjects/Keywords: Abrupt Change; Average Time to Signal; Change Point; CUSUM Chart; EWMA Chart; Generalized Likelihood Ratio; Linear Regression; I

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

APA (6th Edition):

Xu, L. (2013). The Design of GLR Control Charts for Process Monitoring. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50408

Chicago Manual of Style (16th Edition):

Xu, Liaosa. “The Design of GLR Control Charts for Process Monitoring.” 2013. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/50408.

MLA Handbook (7th Edition):

Xu, Liaosa. “The Design of GLR Control Charts for Process Monitoring.” 2013. Web. 16 Jul 2019.

Vancouver:

Xu L. The Design of GLR Control Charts for Process Monitoring. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/50408.

Council of Science Editors:

Xu L. The Design of GLR Control Charts for Process Monitoring. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/50408


Virginia Tech

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

Degree: PhD, Statistics, 2013, Virginia Tech

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

APA (6th 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 (16th Edition):

Cheng, Lulu. “Statistical Methods for Genetic Pathway-Based Data Analysis.” 2013. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/52039.

MLA Handbook (7th Edition):

Cheng, Lulu. “Statistical Methods for Genetic Pathway-Based Data Analysis.” 2013. Web. 16 Jul 2019.

Vancouver:

Cheng L. Statistical Methods for Genetic Pathway-Based Data Analysis. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2019 Jul 16]. 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

21. Duan, Yuanyuan. Statistical Predictions Based on Accelerated Degradation Data and Spatial Count Data.

Degree: PhD, Statistics, 2014, Virginia Tech

 This dissertation aims to develop methods for statistical predictions based on various types of data from different areas. We focus on applications from reliability and… (more)

Subjects/Keywords: Coatings; Covariate process; Clusters; Divide-Recombine; Environmental conditions; Lifetime prediction; Lyme disease; Kernel smoothing; Photodegradation; Usage history; UV exposure; Random effects; Reliability; Spatio-temporal.

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

APA (6th Edition):

Duan, Y. (2014). Statistical Predictions Based on Accelerated Degradation Data and Spatial Count Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/56616

Chicago Manual of Style (16th Edition):

Duan, Yuanyuan. “Statistical Predictions Based on Accelerated Degradation Data and Spatial Count Data.” 2014. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/56616.

MLA Handbook (7th Edition):

Duan, Yuanyuan. “Statistical Predictions Based on Accelerated Degradation Data and Spatial Count Data.” 2014. Web. 16 Jul 2019.

Vancouver:

Duan Y. Statistical Predictions Based on Accelerated Degradation Data and Spatial Count Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/56616.

Council of Science Editors:

Duan Y. Statistical Predictions Based on Accelerated Degradation Data and Spatial Count Data. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/56616

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