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You searched for +publisher:"University of Georgia" +contributor:("Jaxk Reeves"). Showing records 1 – 17 of 17 total matches.

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University of Georgia

1. Wang, Ruobing. Competing risk models for turtle nest survival in the Bolivian Amazon.

Degree: MS, Statistics, 2008, University of Georgia

 Survival analysis is a very common method to model time-to-event data. In most studies, the probability of experiencing one event (such as failure or death)… (more)

Subjects/Keywords: Survival analysis; Censoring; Kaplan-Meier estimate; Competing risk model; P.unifilis

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APA (6th Edition):

Wang, R. (2008). Competing risk models for turtle nest survival in the Bolivian Amazon. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/wang_ruobing_200805_ms

Chicago Manual of Style (16th Edition):

Wang, Ruobing. “Competing risk models for turtle nest survival in the Bolivian Amazon.” 2008. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/wang_ruobing_200805_ms.

MLA Handbook (7th Edition):

Wang, Ruobing. “Competing risk models for turtle nest survival in the Bolivian Amazon.” 2008. Web. 16 Sep 2019.

Vancouver:

Wang R. Competing risk models for turtle nest survival in the Bolivian Amazon. [Internet] [Masters thesis]. University of Georgia; 2008. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/wang_ruobing_200805_ms.

Council of Science Editors:

Wang R. Competing risk models for turtle nest survival in the Bolivian Amazon. [Masters Thesis]. University of Georgia; 2008. Available from: http://purl.galileo.usg.edu/uga_etd/wang_ruobing_200805_ms


University of Georgia

2. Li, Ting. Investigation of statistical methods for determination of benchmark dose limits for retinoic acid-induced fetal forelimb malformation in mice.

Degree: MS, Statistics, 2008, University of Georgia

 The benchmark dose (BMD) is an estimated dose that induces an adverse response above the background level after a toxic exposure. In the present study,… (more)

Subjects/Keywords: Benchmark Dose

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APA (6th Edition):

Li, T. (2008). Investigation of statistical methods for determination of benchmark dose limits for retinoic acid-induced fetal forelimb malformation in mice. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/li_ting_200812_ms

Chicago Manual of Style (16th Edition):

Li, Ting. “Investigation of statistical methods for determination of benchmark dose limits for retinoic acid-induced fetal forelimb malformation in mice.” 2008. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/li_ting_200812_ms.

MLA Handbook (7th Edition):

Li, Ting. “Investigation of statistical methods for determination of benchmark dose limits for retinoic acid-induced fetal forelimb malformation in mice.” 2008. Web. 16 Sep 2019.

Vancouver:

Li T. Investigation of statistical methods for determination of benchmark dose limits for retinoic acid-induced fetal forelimb malformation in mice. [Internet] [Masters thesis]. University of Georgia; 2008. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/li_ting_200812_ms.

Council of Science Editors:

Li T. Investigation of statistical methods for determination of benchmark dose limits for retinoic acid-induced fetal forelimb malformation in mice. [Masters Thesis]. University of Georgia; 2008. Available from: http://purl.galileo.usg.edu/uga_etd/li_ting_200812_ms


University of Georgia

3. Garren, Jeonifer. Using regression based methods for time-constrained scaling of parallel processor computing applications.

Degree: MS, Statistics, 2010, University of Georgia

 There is a need for an automated method that facilitates time-constrained scaling for applications to encourage the wider use of parallel computation for computationally intense… (more)

Subjects/Keywords: time-constrained scaling

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APA (6th Edition):

Garren, J. (2010). Using regression based methods for time-constrained scaling of parallel processor computing applications. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/garren_jeonifer_201005_ms

Chicago Manual of Style (16th Edition):

Garren, Jeonifer. “Using regression based methods for time-constrained scaling of parallel processor computing applications.” 2010. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/garren_jeonifer_201005_ms.

MLA Handbook (7th Edition):

Garren, Jeonifer. “Using regression based methods for time-constrained scaling of parallel processor computing applications.” 2010. Web. 16 Sep 2019.

Vancouver:

Garren J. Using regression based methods for time-constrained scaling of parallel processor computing applications. [Internet] [Masters thesis]. University of Georgia; 2010. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/garren_jeonifer_201005_ms.

Council of Science Editors:

Garren J. Using regression based methods for time-constrained scaling of parallel processor computing applications. [Masters Thesis]. University of Georgia; 2010. Available from: http://purl.galileo.usg.edu/uga_etd/garren_jeonifer_201005_ms


University of Georgia

4. Hou, Zhuofei. Statistical study of the decay lifetimes of the photo-excited DNA nucleobase Adenine.

Degree: MS, Statistics, 2010, University of Georgia

 To provide physicists, Nicholas L. Evans and Susanne Ullrich, at the University of Georgia (UGA) with the statistical support to determine the decay lifetimes of… (more)

Subjects/Keywords: UV photostability

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APA (6th Edition):

Hou, Z. (2010). Statistical study of the decay lifetimes of the photo-excited DNA nucleobase Adenine. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/hou_zhuofei_201012_ms

Chicago Manual of Style (16th Edition):

Hou, Zhuofei. “Statistical study of the decay lifetimes of the photo-excited DNA nucleobase Adenine.” 2010. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/hou_zhuofei_201012_ms.

MLA Handbook (7th Edition):

Hou, Zhuofei. “Statistical study of the decay lifetimes of the photo-excited DNA nucleobase Adenine.” 2010. Web. 16 Sep 2019.

Vancouver:

Hou Z. Statistical study of the decay lifetimes of the photo-excited DNA nucleobase Adenine. [Internet] [Masters thesis]. University of Georgia; 2010. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/hou_zhuofei_201012_ms.

Council of Science Editors:

Hou Z. Statistical study of the decay lifetimes of the photo-excited DNA nucleobase Adenine. [Masters Thesis]. University of Georgia; 2010. Available from: http://purl.galileo.usg.edu/uga_etd/hou_zhuofei_201012_ms


University of Georgia

5. Tang, Xiaojia. Statistical identification of the quinic acid responsive genes in Neurospora crassa.

Degree: MS, Statistics, 2010, University of Georgia

 We identified 33 distinct genes in N. crassa that are believed to be responsive when shifting from sucrose to a poor carbon source (Quinic Acid)… (more)

Subjects/Keywords: Systems biology

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APA (6th Edition):

Tang, X. (2010). Statistical identification of the quinic acid responsive genes in Neurospora crassa. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/tang_xiaojia_201012_ms

Chicago Manual of Style (16th Edition):

Tang, Xiaojia. “Statistical identification of the quinic acid responsive genes in Neurospora crassa.” 2010. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/tang_xiaojia_201012_ms.

MLA Handbook (7th Edition):

Tang, Xiaojia. “Statistical identification of the quinic acid responsive genes in Neurospora crassa.” 2010. Web. 16 Sep 2019.

Vancouver:

Tang X. Statistical identification of the quinic acid responsive genes in Neurospora crassa. [Internet] [Masters thesis]. University of Georgia; 2010. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/tang_xiaojia_201012_ms.

Council of Science Editors:

Tang X. Statistical identification of the quinic acid responsive genes in Neurospora crassa. [Masters Thesis]. University of Georgia; 2010. Available from: http://purl.galileo.usg.edu/uga_etd/tang_xiaojia_201012_ms


University of Georgia

6. Wang, Guannan. High/ultra-high dimensional single-index models.

Degree: PhD, Statistics, 2015, University of Georgia

 Single-index models are useful and fundamental tools for handling "curse of dimensionality" problems in nonparametric regression. In addition to that, variable selection also plays an… (more)

Subjects/Keywords: B-spline; diverging parameters; NP dimensionality; SCAD; semiparametric regression; weakly dependent data.

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APA (6th Edition):

Wang, G. (2015). High/ultra-high dimensional single-index models. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/wang_guannan_201505_phd

Chicago Manual of Style (16th Edition):

Wang, Guannan. “High/ultra-high dimensional single-index models.” 2015. Doctoral Dissertation, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/wang_guannan_201505_phd.

MLA Handbook (7th Edition):

Wang, Guannan. “High/ultra-high dimensional single-index models.” 2015. Web. 16 Sep 2019.

Vancouver:

Wang G. High/ultra-high dimensional single-index models. [Internet] [Doctoral dissertation]. University of Georgia; 2015. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/wang_guannan_201505_phd.

Council of Science Editors:

Wang G. High/ultra-high dimensional single-index models. [Doctoral Dissertation]. University of Georgia; 2015. Available from: http://purl.galileo.usg.edu/uga_etd/wang_guannan_201505_phd


University of Georgia

7. Cai, Yimei. Estimation of the seed dispersal distribution with genotypic data.

Degree: PhD, Statistics, 2007, University of Georgia

 The goal of this dissertation is to formulate statistically appropriate estimators for the seed dispersal distribution function when data are collected in traps from multiple… (more)

Subjects/Keywords: Seed dispersal

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APA (6th Edition):

Cai, Y. (2007). Estimation of the seed dispersal distribution with genotypic data. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/cai_yimei_200712_phd

Chicago Manual of Style (16th Edition):

Cai, Yimei. “Estimation of the seed dispersal distribution with genotypic data.” 2007. Doctoral Dissertation, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/cai_yimei_200712_phd.

MLA Handbook (7th Edition):

Cai, Yimei. “Estimation of the seed dispersal distribution with genotypic data.” 2007. Web. 16 Sep 2019.

Vancouver:

Cai Y. Estimation of the seed dispersal distribution with genotypic data. [Internet] [Doctoral dissertation]. University of Georgia; 2007. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/cai_yimei_200712_phd.

Council of Science Editors:

Cai Y. Estimation of the seed dispersal distribution with genotypic data. [Doctoral Dissertation]. University of Georgia; 2007. Available from: http://purl.galileo.usg.edu/uga_etd/cai_yimei_200712_phd


University of Georgia

8. Huang, Yining. Data analysis of the pattern information of the collective decision-making process in subterranean termites species.

Degree: MS, Statistics, 2016, University of Georgia

 Data were collected by a bioassay design to study the collective decision-making process of food searching for a subterranean termite species. The movements of termites… (more)

Subjects/Keywords: Data Analysis

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APA (6th Edition):

Huang, Y. (2016). Data analysis of the pattern information of the collective decision-making process in subterranean termites species. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/huang_yining_201608_ms

Chicago Manual of Style (16th Edition):

Huang, Yining. “Data analysis of the pattern information of the collective decision-making process in subterranean termites species.” 2016. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/huang_yining_201608_ms.

MLA Handbook (7th Edition):

Huang, Yining. “Data analysis of the pattern information of the collective decision-making process in subterranean termites species.” 2016. Web. 16 Sep 2019.

Vancouver:

Huang Y. Data analysis of the pattern information of the collective decision-making process in subterranean termites species. [Internet] [Masters thesis]. University of Georgia; 2016. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/huang_yining_201608_ms.

Council of Science Editors:

Huang Y. Data analysis of the pattern information of the collective decision-making process in subterranean termites species. [Masters Thesis]. University of Georgia; 2016. Available from: http://purl.galileo.usg.edu/uga_etd/huang_yining_201608_ms


University of Georgia

9. Patterson, Courtney. A statistical analysis of crime in San Luis Obispo (2009-2017).

Degree: MS, Statistics, 2018, University of Georgia

 In this thesis, police reports from the city of San Luis Obispo, California (2009-2017) are explored and analyzed in order to identify various trends and… (more)

Subjects/Keywords: ARIMA Models; Crime Data; Forecasting; Time Series

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APA (6th Edition):

Patterson, C. (2018). A statistical analysis of crime in San Luis Obispo (2009-2017). (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/38497

Chicago Manual of Style (16th Edition):

Patterson, Courtney. “A statistical analysis of crime in San Luis Obispo (2009-2017).” 2018. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://hdl.handle.net/10724/38497.

MLA Handbook (7th Edition):

Patterson, Courtney. “A statistical analysis of crime in San Luis Obispo (2009-2017).” 2018. Web. 16 Sep 2019.

Vancouver:

Patterson C. A statistical analysis of crime in San Luis Obispo (2009-2017). [Internet] [Masters thesis]. University of Georgia; 2018. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/10724/38497.

Council of Science Editors:

Patterson C. A statistical analysis of crime in San Luis Obispo (2009-2017). [Masters Thesis]. University of Georgia; 2018. Available from: http://hdl.handle.net/10724/38497

10. Li, Li. Estimation in populations with rare events.

Degree: MS, Statistics, 2012, University of Georgia

 Survey sampling is one of the most practiced subjects in statistics, with various methods having been proposed to estimate rare population parameters. Among these existing… (more)

Subjects/Keywords: Abandoned Property Law; Unclaimed Property; Rare Population; Ratio Estimator

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APA (6th Edition):

Li, L. (2012). Estimation in populations with rare events. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/li_li_201205_ms

Chicago Manual of Style (16th Edition):

Li, Li. “Estimation in populations with rare events.” 2012. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/li_li_201205_ms.

MLA Handbook (7th Edition):

Li, Li. “Estimation in populations with rare events.” 2012. Web. 16 Sep 2019.

Vancouver:

Li L. Estimation in populations with rare events. [Internet] [Masters thesis]. University of Georgia; 2012. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/li_li_201205_ms.

Council of Science Editors:

Li L. Estimation in populations with rare events. [Masters Thesis]. University of Georgia; 2012. Available from: http://purl.galileo.usg.edu/uga_etd/li_li_201205_ms

11. Tang, Qianqian. Estimation of genomic copy frequency with correlated observations.

Degree: MS, Statistics, 2012, University of Georgia

 In this thesis, we compare several methods to handle correlated data related to genome frequency copies. First, we used standard Poisson Regression to analyze the… (more)

Subjects/Keywords: Poisson Regression

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APA (6th Edition):

Tang, Q. (2012). Estimation of genomic copy frequency with correlated observations. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/tang_qianqian_201205_ms

Chicago Manual of Style (16th Edition):

Tang, Qianqian. “Estimation of genomic copy frequency with correlated observations.” 2012. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/tang_qianqian_201205_ms.

MLA Handbook (7th Edition):

Tang, Qianqian. “Estimation of genomic copy frequency with correlated observations.” 2012. Web. 16 Sep 2019.

Vancouver:

Tang Q. Estimation of genomic copy frequency with correlated observations. [Internet] [Masters thesis]. University of Georgia; 2012. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/tang_qianqian_201205_ms.

Council of Science Editors:

Tang Q. Estimation of genomic copy frequency with correlated observations. [Masters Thesis]. University of Georgia; 2012. Available from: http://purl.galileo.usg.edu/uga_etd/tang_qianqian_201205_ms

12. Fancher, Emily Lauren. Comparison of methods of analysis for Pretest and Posttest data.

Degree: MS, Statistics, 2013, University of Georgia

 In this thesis I compare methods of statistical analyses for Pretest and Posttest Control Group Designs and Non-equivalent Group Designs. I compare the strengths and… (more)

Subjects/Keywords: Pretest Posttest Control Group Design; Non-equivalent Group Design; Experimental Validity; ANOVA; ANCOVA; Repeated Measures ANOVA; Longitudinal Study; Mixed Model; Quasi-Experiment

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APA (6th Edition):

Fancher, E. L. (2013). Comparison of methods of analysis for Pretest and Posttest data. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/fancher_emily_l_201308_ms

Chicago Manual of Style (16th Edition):

Fancher, Emily Lauren. “Comparison of methods of analysis for Pretest and Posttest data.” 2013. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/fancher_emily_l_201308_ms.

MLA Handbook (7th Edition):

Fancher, Emily Lauren. “Comparison of methods of analysis for Pretest and Posttest data.” 2013. Web. 16 Sep 2019.

Vancouver:

Fancher EL. Comparison of methods of analysis for Pretest and Posttest data. [Internet] [Masters thesis]. University of Georgia; 2013. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/fancher_emily_l_201308_ms.

Council of Science Editors:

Fancher EL. Comparison of methods of analysis for Pretest and Posttest data. [Masters Thesis]. University of Georgia; 2013. Available from: http://purl.galileo.usg.edu/uga_etd/fancher_emily_l_201308_ms


University of Georgia

13. Ye, Fengling. Prediction of residential mortgage contract rates.

Degree: MS, Statistics, 2002, University of Georgia

 In this thesis, we have examined the predictability of the effective yield of residential mortgage loan rates as a function of economic variables which would… (more)

Subjects/Keywords: Weighted Autoregression model

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APA (6th Edition):

Ye, F. (2002). Prediction of residential mortgage contract rates. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/ye_fengling_200205_ms

Chicago Manual of Style (16th Edition):

Ye, Fengling. “Prediction of residential mortgage contract rates.” 2002. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/ye_fengling_200205_ms.

MLA Handbook (7th Edition):

Ye, Fengling. “Prediction of residential mortgage contract rates.” 2002. Web. 16 Sep 2019.

Vancouver:

Ye F. Prediction of residential mortgage contract rates. [Internet] [Masters thesis]. University of Georgia; 2002. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/ye_fengling_200205_ms.

Council of Science Editors:

Ye F. Prediction of residential mortgage contract rates. [Masters Thesis]. University of Georgia; 2002. Available from: http://purl.galileo.usg.edu/uga_etd/ye_fengling_200205_ms


University of Georgia

14. Lemons, Marlow Quintez. Predictive modeling of professional figure skating tournament data.

Degree: MS, Statistics, 2003, University of Georgia

 This thesis examines various stochastic models for modeling the performance scores earned by competitors in figure skating competitions. Using the results from 107 professional figure… (more)

Subjects/Keywords: Figure Skating

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APA (6th Edition):

Lemons, M. Q. (2003). Predictive modeling of professional figure skating tournament data. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/lemons_marlow_q_200308_ms

Chicago Manual of Style (16th Edition):

Lemons, Marlow Quintez. “Predictive modeling of professional figure skating tournament data.” 2003. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/lemons_marlow_q_200308_ms.

MLA Handbook (7th Edition):

Lemons, Marlow Quintez. “Predictive modeling of professional figure skating tournament data.” 2003. Web. 16 Sep 2019.

Vancouver:

Lemons MQ. Predictive modeling of professional figure skating tournament data. [Internet] [Masters thesis]. University of Georgia; 2003. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/lemons_marlow_q_200308_ms.

Council of Science Editors:

Lemons MQ. Predictive modeling of professional figure skating tournament data. [Masters Thesis]. University of Georgia; 2003. Available from: http://purl.galileo.usg.edu/uga_etd/lemons_marlow_q_200308_ms


University of Georgia

15. Lu, Jingrang. Statistical analysis of 16s rdna gene-based intestinal bacteria in chickens.

Degree: MS, Statistics, 2003, University of Georgia

 This study compares the effects of growth-promoting antibiotic, probiotic, and other commercial diets on the community structures of intestinal bacterial flora in chickens. Bacterial communities… (more)

Subjects/Keywords: TRFLP

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APA (6th Edition):

Lu, J. (2003). Statistical analysis of 16s rdna gene-based intestinal bacteria in chickens. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/lu_jingrang_200312_ms

Chicago Manual of Style (16th Edition):

Lu, Jingrang. “Statistical analysis of 16s rdna gene-based intestinal bacteria in chickens.” 2003. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/lu_jingrang_200312_ms.

MLA Handbook (7th Edition):

Lu, Jingrang. “Statistical analysis of 16s rdna gene-based intestinal bacteria in chickens.” 2003. Web. 16 Sep 2019.

Vancouver:

Lu J. Statistical analysis of 16s rdna gene-based intestinal bacteria in chickens. [Internet] [Masters thesis]. University of Georgia; 2003. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/lu_jingrang_200312_ms.

Council of Science Editors:

Lu J. Statistical analysis of 16s rdna gene-based intestinal bacteria in chickens. [Masters Thesis]. University of Georgia; 2003. Available from: http://purl.galileo.usg.edu/uga_etd/lu_jingrang_200312_ms


University of Georgia

16. Wang, Haofei. Statistical analysis of mass spectrometry-assisted protein identification methods.

Degree: MS, Statistics, 2003, University of Georgia

 Mass spectrometry combined with database search utilities is a valuable protein identification tool. The success of database mining is dependent upon a series of variables… (more)

Subjects/Keywords: Mass spectrometry

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APA (6th Edition):

Wang, H. (2003). Statistical analysis of mass spectrometry-assisted protein identification methods. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/wang_haofei_200312_ms2

Chicago Manual of Style (16th Edition):

Wang, Haofei. “Statistical analysis of mass spectrometry-assisted protein identification methods.” 2003. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/wang_haofei_200312_ms2.

MLA Handbook (7th Edition):

Wang, Haofei. “Statistical analysis of mass spectrometry-assisted protein identification methods.” 2003. Web. 16 Sep 2019.

Vancouver:

Wang H. Statistical analysis of mass spectrometry-assisted protein identification methods. [Internet] [Masters thesis]. University of Georgia; 2003. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/wang_haofei_200312_ms2.

Council of Science Editors:

Wang H. Statistical analysis of mass spectrometry-assisted protein identification methods. [Masters Thesis]. University of Georgia; 2003. Available from: http://purl.galileo.usg.edu/uga_etd/wang_haofei_200312_ms2


University of Georgia

17. Wang, Qun. Investigation of multiple imputation procedures in the presence of missing quantitative and categorical variables.

Degree: MS, Statistics, 2004, University of Georgia

 The presence of missing or incomplete data is a ubiquitous problem in real world datasets. In the thesis, we apply multiple imputation procedures to analyze… (more)

Subjects/Keywords: multiple imputation

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APA (6th Edition):

Wang, Q. (2004). Investigation of multiple imputation procedures in the presence of missing quantitative and categorical variables. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/wang_qun_200408_ms

Chicago Manual of Style (16th Edition):

Wang, Qun. “Investigation of multiple imputation procedures in the presence of missing quantitative and categorical variables.” 2004. Masters Thesis, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/wang_qun_200408_ms.

MLA Handbook (7th Edition):

Wang, Qun. “Investigation of multiple imputation procedures in the presence of missing quantitative and categorical variables.” 2004. Web. 16 Sep 2019.

Vancouver:

Wang Q. Investigation of multiple imputation procedures in the presence of missing quantitative and categorical variables. [Internet] [Masters thesis]. University of Georgia; 2004. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/wang_qun_200408_ms.

Council of Science Editors:

Wang Q. Investigation of multiple imputation procedures in the presence of missing quantitative and categorical variables. [Masters Thesis]. University of Georgia; 2004. Available from: http://purl.galileo.usg.edu/uga_etd/wang_qun_200408_ms

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