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You searched for +publisher:"University of Cincinnati" +contributor:("Song, Seongho"). Showing records 1 – 4 of 4 total matches.

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University of Cincinnati

1. Guo, Wei. A Unified Approach to Data Transformation and Outlier Detection using Penalized Assessment.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2014, University of Cincinnati

 In many statistical applications normally distributed sample and sample without outliers are desired. However, in practice, it is often the case that the normality assumption… (more)

Subjects/Keywords: Statistics

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APA (6th Edition):

Guo, W. (2014). A Unified Approach to Data Transformation and Outlier Detection using Penalized Assessment. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1399624139

Chicago Manual of Style (16th Edition):

Guo, Wei. “A Unified Approach to Data Transformation and Outlier Detection using Penalized Assessment.” 2014. Doctoral Dissertation, University of Cincinnati. Accessed May 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1399624139.

MLA Handbook (7th Edition):

Guo, Wei. “A Unified Approach to Data Transformation and Outlier Detection using Penalized Assessment.” 2014. Web. 20 May 2019.

Vancouver:

Guo W. A Unified Approach to Data Transformation and Outlier Detection using Penalized Assessment. [Internet] [Doctoral dissertation]. University of Cincinnati; 2014. [cited 2019 May 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1399624139.

Council of Science Editors:

Guo W. A Unified Approach to Data Transformation and Outlier Detection using Penalized Assessment. [Doctoral Dissertation]. University of Cincinnati; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1399624139


University of Cincinnati

2. Kim, Woosuk. Statistical Inference on Dual Generalized Order Statistics for Burr Type III Distribution.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2014, University of Cincinnati

 In the dissertation, we derive the explicit expressions and somerecurrence relations for the single and product moments of dualgeneralized order statistics from Burr Type III… (more)

Subjects/Keywords: Statistics; reversed order statistics

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

APA (6th Edition):

Kim, W. (2014). Statistical Inference on Dual Generalized Order Statistics for Burr Type III Distribution. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1396533232

Chicago Manual of Style (16th Edition):

Kim, Woosuk. “Statistical Inference on Dual Generalized Order Statistics for Burr Type III Distribution.” 2014. Doctoral Dissertation, University of Cincinnati. Accessed May 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1396533232.

MLA Handbook (7th Edition):

Kim, Woosuk. “Statistical Inference on Dual Generalized Order Statistics for Burr Type III Distribution.” 2014. Web. 20 May 2019.

Vancouver:

Kim W. Statistical Inference on Dual Generalized Order Statistics for Burr Type III Distribution. [Internet] [Doctoral dissertation]. University of Cincinnati; 2014. [cited 2019 May 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1396533232.

Council of Science Editors:

Kim W. Statistical Inference on Dual Generalized Order Statistics for Burr Type III Distribution. [Doctoral Dissertation]. University of Cincinnati; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1396533232


University of Cincinnati

3. Zhang, Zongjun. Adaptive Robust Regression Approaches in data analysis and their Applications.

Degree: PhD, Arts and Sciences: Mathematics (Statistics), 2015, University of Cincinnati

 In this dissertation, we proposed several novel Adaptive Robust Approaches. The main purpose of the proposed adaptive robust approaches is: (a) To facilitate the decision… (more)

Subjects/Keywords: Statistics; Adaptive; Robust; M-Estimator; tuning constant; tail weight index; iterative re-weighted least square algorithm

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

APA (6th Edition):

Zhang, Z. (2015). Adaptive Robust Regression Approaches in data analysis and their Applications. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445343114

Chicago Manual of Style (16th Edition):

Zhang, Zongjun. “Adaptive Robust Regression Approaches in data analysis and their Applications.” 2015. Doctoral Dissertation, University of Cincinnati. Accessed May 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445343114.

MLA Handbook (7th Edition):

Zhang, Zongjun. “Adaptive Robust Regression Approaches in data analysis and their Applications.” 2015. Web. 20 May 2019.

Vancouver:

Zhang Z. Adaptive Robust Regression Approaches in data analysis and their Applications. [Internet] [Doctoral dissertation]. University of Cincinnati; 2015. [cited 2019 May 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445343114.

Council of Science Editors:

Zhang Z. Adaptive Robust Regression Approaches in data analysis and their Applications. [Doctoral Dissertation]. University of Cincinnati; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445343114


University of Cincinnati

4. Jaberansari, Negar. Bayesian Hierarchical Models for Partially Observed Data.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2016, University of Cincinnati

 This thesis considers two types of clustered partially observed data and addresses the challenges via Bayesian hierarchical models.Multivariate current status data is a common type… (more)

Subjects/Keywords: Statistics; Clustered Partially Observed Data; Survival Analysis; Causal Effect; Bayesian Hierarchical Models

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

APA (6th Edition):

Jaberansari, N. (2016). Bayesian Hierarchical Models for Partially Observed Data. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479818516727153

Chicago Manual of Style (16th Edition):

Jaberansari, Negar. “Bayesian Hierarchical Models for Partially Observed Data.” 2016. Doctoral Dissertation, University of Cincinnati. Accessed May 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479818516727153.

MLA Handbook (7th Edition):

Jaberansari, Negar. “Bayesian Hierarchical Models for Partially Observed Data.” 2016. Web. 20 May 2019.

Vancouver:

Jaberansari N. Bayesian Hierarchical Models for Partially Observed Data. [Internet] [Doctoral dissertation]. University of Cincinnati; 2016. [cited 2019 May 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479818516727153.

Council of Science Editors:

Jaberansari N. Bayesian Hierarchical Models for Partially Observed Data. [Doctoral Dissertation]. University of Cincinnati; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479818516727153

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