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You searched for +publisher:"North Carolina State University" +contributor:("Sujit K. Ghosh, Committee Member"). Showing records 1 – 13 of 13 total matches.

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North Carolina State University

1. Wu, Yuefeng. Asymptotic behavior of some Bayesian nonparametric and semi-parametric procedures.

Degree: PhD, Statistics, 2009, North Carolina State University

 This dissertation extends some established results about the asymptotic behavior of Some Bayesian Nonparametric and Semi-parametric Procedures in three aspects. First, positivity of the prior… (more)

Subjects/Keywords: posterior consistency; Kullback Leibler property

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APA (6th Edition):

Wu, Y. (2009). Asymptotic behavior of some Bayesian nonparametric and semi-parametric procedures. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4681

Chicago Manual of Style (16th Edition):

Wu, Yuefeng. “Asymptotic behavior of some Bayesian nonparametric and semi-parametric procedures.” 2009. Doctoral Dissertation, North Carolina State University. Accessed December 10, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4681.

MLA Handbook (7th Edition):

Wu, Yuefeng. “Asymptotic behavior of some Bayesian nonparametric and semi-parametric procedures.” 2009. Web. 10 Dec 2019.

Vancouver:

Wu Y. Asymptotic behavior of some Bayesian nonparametric and semi-parametric procedures. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2019 Dec 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4681.

Council of Science Editors:

Wu Y. Asymptotic behavior of some Bayesian nonparametric and semi-parametric procedures. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4681


North Carolina State University

2. Silva, Luciano Da Costa E. Multiple Trait Multiple Interval Mapping of Quantitative Trait Loci from Inbred Line Crosses.

Degree: PhD, Statistics, 2010, North Carolina State University

 Tremendous progress has been made in recent years on developing statistical methods for mapping quantitative trait loci (QTL) from crosses of inbred lines. Most of… (more)

Subjects/Keywords: Quantitative trait loci; mapping; statistical method; multiple trait; inbred lines

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APA (6th Edition):

Silva, L. D. C. E. (2010). Multiple Trait Multiple Interval Mapping of Quantitative Trait Loci from Inbred Line Crosses. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4217

Chicago Manual of Style (16th Edition):

Silva, Luciano Da Costa E. “Multiple Trait Multiple Interval Mapping of Quantitative Trait Loci from Inbred Line Crosses.” 2010. Doctoral Dissertation, North Carolina State University. Accessed December 10, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4217.

MLA Handbook (7th Edition):

Silva, Luciano Da Costa E. “Multiple Trait Multiple Interval Mapping of Quantitative Trait Loci from Inbred Line Crosses.” 2010. Web. 10 Dec 2019.

Vancouver:

Silva LDCE. Multiple Trait Multiple Interval Mapping of Quantitative Trait Loci from Inbred Line Crosses. [Internet] [Doctoral dissertation]. North Carolina State University; 2010. [cited 2019 Dec 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4217.

Council of Science Editors:

Silva LDCE. Multiple Trait Multiple Interval Mapping of Quantitative Trait Loci from Inbred Line Crosses. [Doctoral Dissertation]. North Carolina State University; 2010. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4217

3. Demirhan , Eren. Variable Selection For Multivariate Smoothing Splines With Correlated Random Errors.

Degree: PhD, Statistics, 2008, North Carolina State University

Subjects/Keywords: smoothing spline ANOVA; COSSO; LASSO; nonparametric regression; variable selection; correlated data

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APA (6th Edition):

Demirhan , E. (2008). Variable Selection For Multivariate Smoothing Splines With Correlated Random Errors. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/5619

Chicago Manual of Style (16th Edition):

Demirhan , Eren. “Variable Selection For Multivariate Smoothing Splines With Correlated Random Errors.” 2008. Doctoral Dissertation, North Carolina State University. Accessed December 10, 2019. http://www.lib.ncsu.edu/resolver/1840.16/5619.

MLA Handbook (7th Edition):

Demirhan , Eren. “Variable Selection For Multivariate Smoothing Splines With Correlated Random Errors.” 2008. Web. 10 Dec 2019.

Vancouver:

Demirhan E. Variable Selection For Multivariate Smoothing Splines With Correlated Random Errors. [Internet] [Doctoral dissertation]. North Carolina State University; 2008. [cited 2019 Dec 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5619.

Council of Science Editors:

Demirhan E. Variable Selection For Multivariate Smoothing Splines With Correlated Random Errors. [Doctoral Dissertation]. North Carolina State University; 2008. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5619

4. Huang, Jin. An Empirical Analysis of Adaptability to Climate Change and Risk in Forest Management.

Degree: PhD, Forestry, 2009, North Carolina State University

 This dissertation provides a quantitative analysis of the adaptability in forest management to future risks using existing data describing pine growth and management across a… (more)

Subjects/Keywords: adaptation; forest management;

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APA (6th Edition):

Huang, J. (2009). An Empirical Analysis of Adaptability to Climate Change and Risk in Forest Management. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/5934

Chicago Manual of Style (16th Edition):

Huang, Jin. “An Empirical Analysis of Adaptability to Climate Change and Risk in Forest Management.” 2009. Doctoral Dissertation, North Carolina State University. Accessed December 10, 2019. http://www.lib.ncsu.edu/resolver/1840.16/5934.

MLA Handbook (7th Edition):

Huang, Jin. “An Empirical Analysis of Adaptability to Climate Change and Risk in Forest Management.” 2009. Web. 10 Dec 2019.

Vancouver:

Huang J. An Empirical Analysis of Adaptability to Climate Change and Risk in Forest Management. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2019 Dec 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5934.

Council of Science Editors:

Huang J. An Empirical Analysis of Adaptability to Climate Change and Risk in Forest Management. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5934


North Carolina State University

5. Eni, Egbe Uchechi. Developing Test Procedures for Measuring Stored Thermal Energy in Firefighter Protective Clothing.

Degree: MS, Textile Engineering, 2005, North Carolina State University

 This research studied stored thermal energy in fire fighter's turnout systems. It developed a novel laboratory apparatus and test protocols for measuring the contribution of… (more)

Subjects/Keywords: Stored Energy Index; Fire Fighter; Stored Thermal Energy; Turnout Systems; Test Procedures; Radiant Protective Performance; Thermal Protective Performance; Minimum Exposure Time; Discharged Stored Energy

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APA (6th Edition):

Eni, E. U. (2005). Developing Test Procedures for Measuring Stored Thermal Energy in Firefighter Protective Clothing. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/907

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

Chicago Manual of Style (16th Edition):

Eni, Egbe Uchechi. “Developing Test Procedures for Measuring Stored Thermal Energy in Firefighter Protective Clothing.” 2005. Thesis, North Carolina State University. Accessed December 10, 2019. http://www.lib.ncsu.edu/resolver/1840.16/907.

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

MLA Handbook (7th Edition):

Eni, Egbe Uchechi. “Developing Test Procedures for Measuring Stored Thermal Energy in Firefighter Protective Clothing.” 2005. Web. 10 Dec 2019.

Vancouver:

Eni EU. Developing Test Procedures for Measuring Stored Thermal Energy in Firefighter Protective Clothing. [Internet] [Thesis]. North Carolina State University; 2005. [cited 2019 Dec 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/907.

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

Council of Science Editors:

Eni EU. Developing Test Procedures for Measuring Stored Thermal Energy in Firefighter Protective Clothing. [Thesis]. North Carolina State University; 2005. Available from: http://www.lib.ncsu.edu/resolver/1840.16/907

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


North Carolina State University

6. Zou, Wei. Transcriptional Regulatory Pattern in Yeast Revealed through Expression Quantitative Trait Locus Mapping.

Degree: PhD, Bioinformatics, 2007, North Carolina State University

Subjects/Keywords: eQTL; Transcriptional Regulation; gene network; visualization; SVG; FDR; multiple interval mapping

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APA (6th Edition):

Zou, W. (2007). Transcriptional Regulatory Pattern in Yeast Revealed through Expression Quantitative Trait Locus Mapping. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/5068

Chicago Manual of Style (16th Edition):

Zou, Wei. “Transcriptional Regulatory Pattern in Yeast Revealed through Expression Quantitative Trait Locus Mapping.” 2007. Doctoral Dissertation, North Carolina State University. Accessed December 10, 2019. http://www.lib.ncsu.edu/resolver/1840.16/5068.

MLA Handbook (7th Edition):

Zou, Wei. “Transcriptional Regulatory Pattern in Yeast Revealed through Expression Quantitative Trait Locus Mapping.” 2007. Web. 10 Dec 2019.

Vancouver:

Zou W. Transcriptional Regulatory Pattern in Yeast Revealed through Expression Quantitative Trait Locus Mapping. [Internet] [Doctoral dissertation]. North Carolina State University; 2007. [cited 2019 Dec 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5068.

Council of Science Editors:

Zou W. Transcriptional Regulatory Pattern in Yeast Revealed through Expression Quantitative Trait Locus Mapping. [Doctoral Dissertation]. North Carolina State University; 2007. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5068


North Carolina State University

7. Belasco, Eric J. Three Essays on Modeling Risk in Fed Cattle Production.

Degree: PhD, Economics, 2007, North Carolina State University

 This study examines issues that arise when modeling risk associated with fed cattle production. While research concerning crop yield and revenue risks are numerous, studies… (more)

Subjects/Keywords: bayesian; yields; multivariate; livestock; censored

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APA (6th Edition):

Belasco, E. J. (2007). Three Essays on Modeling Risk in Fed Cattle Production. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4321

Chicago Manual of Style (16th Edition):

Belasco, Eric J. “Three Essays on Modeling Risk in Fed Cattle Production.” 2007. Doctoral Dissertation, North Carolina State University. Accessed December 10, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4321.

MLA Handbook (7th Edition):

Belasco, Eric J. “Three Essays on Modeling Risk in Fed Cattle Production.” 2007. Web. 10 Dec 2019.

Vancouver:

Belasco EJ. Three Essays on Modeling Risk in Fed Cattle Production. [Internet] [Doctoral dissertation]. North Carolina State University; 2007. [cited 2019 Dec 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4321.

Council of Science Editors:

Belasco EJ. Three Essays on Modeling Risk in Fed Cattle Production. [Doctoral Dissertation]. North Carolina State University; 2007. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4321


North Carolina State University

8. Mukhopadhyay, Pralay. Exact Tests and Exact Confidence Intervals for the Ratio of Two Binomial Proportions.

Degree: PhD, Statistics, 2003, North Carolina State University

 Testing for the ratio of binomial proportions (often called the relative risk) is quite common in clinical trials and epidemiology study or more generally in… (more)

Subjects/Keywords: Exact tests; Exact Confidence intervals; Relative Risk; Binomial proportions

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APA (6th Edition):

Mukhopadhyay, P. (2003). Exact Tests and Exact Confidence Intervals for the Ratio of Two Binomial Proportions. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4615

Chicago Manual of Style (16th Edition):

Mukhopadhyay, Pralay. “Exact Tests and Exact Confidence Intervals for the Ratio of Two Binomial Proportions.” 2003. Doctoral Dissertation, North Carolina State University. Accessed December 10, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4615.

MLA Handbook (7th Edition):

Mukhopadhyay, Pralay. “Exact Tests and Exact Confidence Intervals for the Ratio of Two Binomial Proportions.” 2003. Web. 10 Dec 2019.

Vancouver:

Mukhopadhyay P. Exact Tests and Exact Confidence Intervals for the Ratio of Two Binomial Proportions. [Internet] [Doctoral dissertation]. North Carolina State University; 2003. [cited 2019 Dec 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4615.

Council of Science Editors:

Mukhopadhyay P. Exact Tests and Exact Confidence Intervals for the Ratio of Two Binomial Proportions. [Doctoral Dissertation]. North Carolina State University; 2003. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4615


North Carolina State University

9. Kang, Changku. Regression via Clustering using Dirichlet Mixtures.

Degree: PhD, Statistics, 2005, North Carolina State University

 Regression analysis is a fundamental problem of statistics. When the regression function has an unknown form, parametric analysis is sometimes inappropriate. In such a situation,… (more)

Subjects/Keywords: Bayesian; clustering; Dirichlet mixtures

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APA (6th Edition):

Kang, C. (2005). Regression via Clustering using Dirichlet Mixtures. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/3822

Chicago Manual of Style (16th Edition):

Kang, Changku. “Regression via Clustering using Dirichlet Mixtures.” 2005. Doctoral Dissertation, North Carolina State University. Accessed December 10, 2019. http://www.lib.ncsu.edu/resolver/1840.16/3822.

MLA Handbook (7th Edition):

Kang, Changku. “Regression via Clustering using Dirichlet Mixtures.” 2005. Web. 10 Dec 2019.

Vancouver:

Kang C. Regression via Clustering using Dirichlet Mixtures. [Internet] [Doctoral dissertation]. North Carolina State University; 2005. [cited 2019 Dec 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3822.

Council of Science Editors:

Kang C. Regression via Clustering using Dirichlet Mixtures. [Doctoral Dissertation]. North Carolina State University; 2005. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3822


North Carolina State University

10. Webster, Raymond Anthony. Spatial Modeling of Detection and Abundance from Count Surveys of Animal Populations.

Degree: PhD, Statistics, 2006, North Carolina State University

 When analyzing data from surveys of animal populations, it has been common in the past to ignore important factors such as variation in animal detection… (more)

Subjects/Keywords: Bayesian models; detection probability; bird surveys; CAR models; Mexican hat density; distance sampling

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APA (6th Edition):

Webster, R. A. (2006). Spatial Modeling of Detection and Abundance from Count Surveys of Animal Populations. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/3133

Chicago Manual of Style (16th Edition):

Webster, Raymond Anthony. “Spatial Modeling of Detection and Abundance from Count Surveys of Animal Populations.” 2006. Doctoral Dissertation, North Carolina State University. Accessed December 10, 2019. http://www.lib.ncsu.edu/resolver/1840.16/3133.

MLA Handbook (7th Edition):

Webster, Raymond Anthony. “Spatial Modeling of Detection and Abundance from Count Surveys of Animal Populations.” 2006. Web. 10 Dec 2019.

Vancouver:

Webster RA. Spatial Modeling of Detection and Abundance from Count Surveys of Animal Populations. [Internet] [Doctoral dissertation]. North Carolina State University; 2006. [cited 2019 Dec 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3133.

Council of Science Editors:

Webster RA. Spatial Modeling of Detection and Abundance from Count Surveys of Animal Populations. [Doctoral Dissertation]. North Carolina State University; 2006. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3133


North Carolina State University

11. Wu, Weiwei. Estimating Value at Risk and the Expected Shortfall for Heteroscedastic Financial Log Returns: A Two-Stage Method.

Degree: PhD, Statistics, 2005, North Carolina State University

 Value at Risk and the Expected Shortfall are two measurements of market risks for financial assets. Statistically, they are extreme quantiles of the distribution of… (more)

Subjects/Keywords: tree-GARCH; heteroscedastic; the Expected Shortfall; Value at Risk

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APA (6th Edition):

Wu, W. (2005). Estimating Value at Risk and the Expected Shortfall for Heteroscedastic Financial Log Returns: A Two-Stage Method. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4198

Chicago Manual of Style (16th Edition):

Wu, Weiwei. “Estimating Value at Risk and the Expected Shortfall for Heteroscedastic Financial Log Returns: A Two-Stage Method.” 2005. Doctoral Dissertation, North Carolina State University. Accessed December 10, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4198.

MLA Handbook (7th Edition):

Wu, Weiwei. “Estimating Value at Risk and the Expected Shortfall for Heteroscedastic Financial Log Returns: A Two-Stage Method.” 2005. Web. 10 Dec 2019.

Vancouver:

Wu W. Estimating Value at Risk and the Expected Shortfall for Heteroscedastic Financial Log Returns: A Two-Stage Method. [Internet] [Doctoral dissertation]. North Carolina State University; 2005. [cited 2019 Dec 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4198.

Council of Science Editors:

Wu W. Estimating Value at Risk and the Expected Shortfall for Heteroscedastic Financial Log Returns: A Two-Stage Method. [Doctoral Dissertation]. North Carolina State University; 2005. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4198


North Carolina State University

12. Choi, Jungsoon. Multivariate Spatial-Temporal Modeling of Environmental-Health Processes.

Degree: PhD, Statistics, 2008, North Carolina State University

 In many applications in environmental sciences and epidemiology, data are often collected over space and time. In some cases, the spatial-temporal data of interest are… (more)

Subjects/Keywords: multivariate spatial-temporal model; air pollution modeling; spatial epidemiology

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APA (6th Edition):

Choi, J. (2008). Multivariate Spatial-Temporal Modeling of Environmental-Health Processes. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/5971

Chicago Manual of Style (16th Edition):

Choi, Jungsoon. “Multivariate Spatial-Temporal Modeling of Environmental-Health Processes.” 2008. Doctoral Dissertation, North Carolina State University. Accessed December 10, 2019. http://www.lib.ncsu.edu/resolver/1840.16/5971.

MLA Handbook (7th Edition):

Choi, Jungsoon. “Multivariate Spatial-Temporal Modeling of Environmental-Health Processes.” 2008. Web. 10 Dec 2019.

Vancouver:

Choi J. Multivariate Spatial-Temporal Modeling of Environmental-Health Processes. [Internet] [Doctoral dissertation]. North Carolina State University; 2008. [cited 2019 Dec 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5971.

Council of Science Editors:

Choi J. Multivariate Spatial-Temporal Modeling of Environmental-Health Processes. [Doctoral Dissertation]. North Carolina State University; 2008. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5971


North Carolina State University

13. Chen, Li. Bayesian Hierarchical Spatial-Temporal Models for Wind Prediction.

Degree: PhD, Statistics, 2005, North Carolina State University

 Wind fields along coastlines are composed of many features that are spatially and temporally complex in nature, and they are well recognized as nonstationary spatial-temporal… (more)

Subjects/Keywords: spatial-temporal processes; nonstationarity; nonseparability; Bayesian inference

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APA (6th Edition):

Chen, L. (2005). Bayesian Hierarchical Spatial-Temporal Models for Wind Prediction. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4963

Chicago Manual of Style (16th Edition):

Chen, Li. “Bayesian Hierarchical Spatial-Temporal Models for Wind Prediction.” 2005. Doctoral Dissertation, North Carolina State University. Accessed December 10, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4963.

MLA Handbook (7th Edition):

Chen, Li. “Bayesian Hierarchical Spatial-Temporal Models for Wind Prediction.” 2005. Web. 10 Dec 2019.

Vancouver:

Chen L. Bayesian Hierarchical Spatial-Temporal Models for Wind Prediction. [Internet] [Doctoral dissertation]. North Carolina State University; 2005. [cited 2019 Dec 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4963.

Council of Science Editors:

Chen L. Bayesian Hierarchical Spatial-Temporal Models for Wind Prediction. [Doctoral Dissertation]. North Carolina State University; 2005. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4963

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