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You searched for +publisher:"The Ohio State University" +contributor:("Allen, Theodore"). Showing records 1 – 23 of 23 total matches.

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The Ohio State University

1. Lee, Soo Ho. Comparison and Application of Probabilistic Clustering Methods for System Improvement Prioritization.

Degree: PhD, Industrial and Systems Engineering, 2012, The Ohio State University

 We compare probabilistic clustering methods for analyzing unstructured text or images relevant to prioritizing system improvement actions. Such system improvement activities require an awareness of… (more)

Subjects/Keywords: Industrial Engineering; Subject Matter Expert Refined Topic; SMERT; Comparison; Probabilistic Clustering

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APA (6th Edition):

Lee, S. H. (2012). Comparison and Application of Probabilistic Clustering Methods for System Improvement Prioritization. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1339766563

Chicago Manual of Style (16th Edition):

Lee, Soo Ho. “Comparison and Application of Probabilistic Clustering Methods for System Improvement Prioritization.” 2012. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1339766563.

MLA Handbook (7th Edition):

Lee, Soo Ho. “Comparison and Application of Probabilistic Clustering Methods for System Improvement Prioritization.” 2012. Web. 15 Jan 2021.

Vancouver:

Lee SH. Comparison and Application of Probabilistic Clustering Methods for System Improvement Prioritization. [Internet] [Doctoral dissertation]. The Ohio State University; 2012. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1339766563.

Council of Science Editors:

Lee SH. Comparison and Application of Probabilistic Clustering Methods for System Improvement Prioritization. [Doctoral Dissertation]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1339766563


The Ohio State University

2. Afful-Dadzi, Anthony. Robust Optimal Maintenance Policies and Charts for Cyber Vulnerability Management.

Degree: PhD, Industrial and Systems Engineering, 2012, The Ohio State University

  Cyber-attacks are considered the greatest domestic security threat in the United States and among the greatest international security threats. Hypothetically, every personal computer connected… (more)

Subjects/Keywords: Industrial Engineering; Cyber Attack; Value function; Markov Decision Processes; Control Charts

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APA (6th Edition):

Afful-Dadzi, A. (2012). Robust Optimal Maintenance Policies and Charts for Cyber Vulnerability Management. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1354126687

Chicago Manual of Style (16th Edition):

Afful-Dadzi, Anthony. “Robust Optimal Maintenance Policies and Charts for Cyber Vulnerability Management.” 2012. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354126687.

MLA Handbook (7th Edition):

Afful-Dadzi, Anthony. “Robust Optimal Maintenance Policies and Charts for Cyber Vulnerability Management.” 2012. Web. 15 Jan 2021.

Vancouver:

Afful-Dadzi A. Robust Optimal Maintenance Policies and Charts for Cyber Vulnerability Management. [Internet] [Doctoral dissertation]. The Ohio State University; 2012. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1354126687.

Council of Science Editors:

Afful-Dadzi A. Robust Optimal Maintenance Policies and Charts for Cyber Vulnerability Management. [Doctoral Dissertation]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1354126687


The Ohio State University

3. SUI, ZHENHUAN. Hierarchical Text Topic Modeling with Applications in Social Media-Enabled Cyber Maintenance Decision Analysis and Quality Hypothesis Generation.

Degree: PhD, Industrial and Systems Engineering, 2017, The Ohio State University

 Many decision problems are set in changing environments. For example, determining the optimal investment in cyber maintenance depends on whether there is evidence of an… (more)

Subjects/Keywords: Operations Research; Statistics; Finance; Industrial Engineering; Systems Science; Natural Language Processing, NLP, Machine Learning, Bayesian Statistics, Hierarchical Text Topic Modeling, Text Analytics, Cyber Maintenance, Decision Analysis, Quality Hypothesis Generation, Latent Dirichlet Allocation, Financial Engineering

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APA (6th Edition):

SUI, Z. (2017). Hierarchical Text Topic Modeling with Applications in Social Media-Enabled Cyber Maintenance Decision Analysis and Quality Hypothesis Generation. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1499446404436637

Chicago Manual of Style (16th Edition):

SUI, ZHENHUAN. “Hierarchical Text Topic Modeling with Applications in Social Media-Enabled Cyber Maintenance Decision Analysis and Quality Hypothesis Generation.” 2017. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1499446404436637.

MLA Handbook (7th Edition):

SUI, ZHENHUAN. “Hierarchical Text Topic Modeling with Applications in Social Media-Enabled Cyber Maintenance Decision Analysis and Quality Hypothesis Generation.” 2017. Web. 15 Jan 2021.

Vancouver:

SUI Z. Hierarchical Text Topic Modeling with Applications in Social Media-Enabled Cyber Maintenance Decision Analysis and Quality Hypothesis Generation. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1499446404436637.

Council of Science Editors:

SUI Z. Hierarchical Text Topic Modeling with Applications in Social Media-Enabled Cyber Maintenance Decision Analysis and Quality Hypothesis Generation. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1499446404436637


The Ohio State University

4. Xiong, Hui. Combining Subject Expert Experimental Data with Standard Data in Bayesian Mixture Modeling.

Degree: PhD, Industrial and Systems Engineering, 2011, The Ohio State University

 Engineers face many quality-related datasets containing free-style text or images. For example, a database could include summaries of complaints filed by customers, or descriptions of… (more)

Subjects/Keywords: Computer Science; Engineering; Industrial Engineering; Information Technology; quality engineering; Bayesian mixture model; topic model; unstructured data; freestyle text; collapsed Gibbs sampling; text mining; data mining; human computer interaction; subject matter expert

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APA (6th Edition):

Xiong, H. (2011). Combining Subject Expert Experimental Data with Standard Data in Bayesian Mixture Modeling. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1312214048

Chicago Manual of Style (16th Edition):

Xiong, Hui. “Combining Subject Expert Experimental Data with Standard Data in Bayesian Mixture Modeling.” 2011. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1312214048.

MLA Handbook (7th Edition):

Xiong, Hui. “Combining Subject Expert Experimental Data with Standard Data in Bayesian Mixture Modeling.” 2011. Web. 15 Jan 2021.

Vancouver:

Xiong H. Combining Subject Expert Experimental Data with Standard Data in Bayesian Mixture Modeling. [Internet] [Doctoral dissertation]. The Ohio State University; 2011. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1312214048.

Council of Science Editors:

Xiong H. Combining Subject Expert Experimental Data with Standard Data in Bayesian Mixture Modeling. [Doctoral Dissertation]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1312214048


The Ohio State University

5. Liu, Enhao. Logistic Regression Model for Predicting Warning “Incident” Rates and Implications for the Common Vulnerability Scoring System.

Degree: MS, Industrial and Systems Engineering, 2017, The Ohio State University

 Sophisticated cyber attackers exploit vulnerabilities to access restricted information. It is critical for cyber security administrator to reveal the associations among vulnerabilities and attacks. Since… (more)

Subjects/Keywords: Industrial Engineering

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APA (6th Edition):

Liu, E. (2017). Logistic Regression Model for Predicting Warning “Incident” Rates and Implications for the Common Vulnerability Scoring System. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1494008131762435

Chicago Manual of Style (16th Edition):

Liu, Enhao. “Logistic Regression Model for Predicting Warning “Incident” Rates and Implications for the Common Vulnerability Scoring System.” 2017. Masters Thesis, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1494008131762435.

MLA Handbook (7th Edition):

Liu, Enhao. “Logistic Regression Model for Predicting Warning “Incident” Rates and Implications for the Common Vulnerability Scoring System.” 2017. Web. 15 Jan 2021.

Vancouver:

Liu E. Logistic Regression Model for Predicting Warning “Incident” Rates and Implications for the Common Vulnerability Scoring System. [Internet] [Masters thesis]. The Ohio State University; 2017. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1494008131762435.

Council of Science Editors:

Liu E. Logistic Regression Model for Predicting Warning “Incident” Rates and Implications for the Common Vulnerability Scoring System. [Masters Thesis]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1494008131762435


The Ohio State University

6. Jiang, Tianyu. Data-Driven Cyber Vulnerability Maintenance of Network Vulnerabilities with Markov Decision Processes.

Degree: MS, Industrial and Systems Engineering, 2017, The Ohio State University

 Cyber vulnerability can be exploited by cyber-attackers to achieve valuable information, alter or destroy a cyber-target. Finding a way to generate appropriate cyber vulnerability maintenance… (more)

Subjects/Keywords: Operations Research; Cyber attackers, Data-Driven Cyber Vulnerability Maintenance of Network Vulnerabilities; Markov Decision Processes

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APA (6th Edition):

Jiang, T. (2017). Data-Driven Cyber Vulnerability Maintenance of Network Vulnerabilities with Markov Decision Processes. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1494203777781845

Chicago Manual of Style (16th Edition):

Jiang, Tianyu. “Data-Driven Cyber Vulnerability Maintenance of Network Vulnerabilities with Markov Decision Processes.” 2017. Masters Thesis, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1494203777781845.

MLA Handbook (7th Edition):

Jiang, Tianyu. “Data-Driven Cyber Vulnerability Maintenance of Network Vulnerabilities with Markov Decision Processes.” 2017. Web. 15 Jan 2021.

Vancouver:

Jiang T. Data-Driven Cyber Vulnerability Maintenance of Network Vulnerabilities with Markov Decision Processes. [Internet] [Masters thesis]. The Ohio State University; 2017. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1494203777781845.

Council of Science Editors:

Jiang T. Data-Driven Cyber Vulnerability Maintenance of Network Vulnerabilities with Markov Decision Processes. [Masters Thesis]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1494203777781845


The Ohio State University

7. Huang, Shijie. Waiting Lines and System Selection in Constrained Service Systems with Applications in Election Resource Allocation.

Degree: PhD, Industrial and Systems Engineering, 2016, The Ohio State University

 In the United States, voting is one of the most fundamental rights protected by the federal law. However, there is a growing concern over voter… (more)

Subjects/Keywords: Industrial Engineering; Operations Research; Multiple Comparisons; Comparison with a Standard; Ranking and Selection; Indifference-zone; Generalized Binary Search; Simulation-based Optimization; Quantile Estimator; Election; Voting System; Equity

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APA (6th Edition):

Huang, S. (2016). Waiting Lines and System Selection in Constrained Service Systems with Applications in Election Resource Allocation. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1471541297

Chicago Manual of Style (16th Edition):

Huang, Shijie. “Waiting Lines and System Selection in Constrained Service Systems with Applications in Election Resource Allocation.” 2016. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471541297.

MLA Handbook (7th Edition):

Huang, Shijie. “Waiting Lines and System Selection in Constrained Service Systems with Applications in Election Resource Allocation.” 2016. Web. 15 Jan 2021.

Vancouver:

Huang S. Waiting Lines and System Selection in Constrained Service Systems with Applications in Election Resource Allocation. [Internet] [Doctoral dissertation]. The Ohio State University; 2016. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1471541297.

Council of Science Editors:

Huang S. Waiting Lines and System Selection in Constrained Service Systems with Applications in Election Resource Allocation. [Doctoral Dissertation]. The Ohio State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1471541297

8. Hou, Chengjun. Dynamic Programming under Parametric Uncertainty with Applications in Cyber Security and Project Management.

Degree: PhD, Industrial and Systems Engineering, 2015, The Ohio State University

 The trustworthiness of models and optimization is limited because the associated systems might be changing and data about them can be limited, i.e., there is… (more)

Subjects/Keywords: Industrial Engineering; Operations Research; Cyber security; Dynamic programming; Markov decision processes; Parametric uncertainty; Project management

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APA (6th Edition):

Hou, C. (2015). Dynamic Programming under Parametric Uncertainty with Applications in Cyber Security and Project Management. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1437676379

Chicago Manual of Style (16th Edition):

Hou, Chengjun. “Dynamic Programming under Parametric Uncertainty with Applications in Cyber Security and Project Management.” 2015. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437676379.

MLA Handbook (7th Edition):

Hou, Chengjun. “Dynamic Programming under Parametric Uncertainty with Applications in Cyber Security and Project Management.” 2015. Web. 15 Jan 2021.

Vancouver:

Hou C. Dynamic Programming under Parametric Uncertainty with Applications in Cyber Security and Project Management. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1437676379.

Council of Science Editors:

Hou C. Dynamic Programming under Parametric Uncertainty with Applications in Cyber Security and Project Management. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1437676379

9. Xie, Chen. DYNAMIC DECISION APPROXIMATE EMPIRICAL REWARD (DDAER) PROCESSES.

Degree: PhD, Industrial and Systems Engineering, 2014, The Ohio State University

 This dissertation concerns model uncertainty in the context of Markov Decision Processes (MDPs). We argue that, taking data limitations into account, the system is no… (more)

Subjects/Keywords: Engineering; Industrial Engineering; Markov Decision Processes, Parametric Uncertainty, Approximate Decision, Dynamic Reward Processes

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APA (6th Edition):

Xie, C. (2014). DYNAMIC DECISION APPROXIMATE EMPIRICAL REWARD (DDAER) PROCESSES. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1398991609

Chicago Manual of Style (16th Edition):

Xie, Chen. “DYNAMIC DECISION APPROXIMATE EMPIRICAL REWARD (DDAER) PROCESSES.” 2014. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398991609.

MLA Handbook (7th Edition):

Xie, Chen. “DYNAMIC DECISION APPROXIMATE EMPIRICAL REWARD (DDAER) PROCESSES.” 2014. Web. 15 Jan 2021.

Vancouver:

Xie C. DYNAMIC DECISION APPROXIMATE EMPIRICAL REWARD (DDAER) PROCESSES. [Internet] [Doctoral dissertation]. The Ohio State University; 2014. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1398991609.

Council of Science Editors:

Xie C. DYNAMIC DECISION APPROXIMATE EMPIRICAL REWARD (DDAER) PROCESSES. [Doctoral Dissertation]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1398991609

10. Roychowdhury, Sayak. Investigation of Flash-free Die Casting by Overflow Design Optimization.

Degree: MS, Industrial and Systems Engineering, 2014, The Ohio State University

 In die casting process, flash is a common problem caused by the impact pressure spike of the molten metal inside the die cavity. This can… (more)

Subjects/Keywords: Industrial Engineering; Operations Research; Die Casting, Flash, Overflow, Hydraulic Bench Test, Optimization, Mathematical Model

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APA (6th Edition):

Roychowdhury, S. (2014). Investigation of Flash-free Die Casting by Overflow Design Optimization. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1406121850

Chicago Manual of Style (16th Edition):

Roychowdhury, Sayak. “Investigation of Flash-free Die Casting by Overflow Design Optimization.” 2014. Masters Thesis, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406121850.

MLA Handbook (7th Edition):

Roychowdhury, Sayak. “Investigation of Flash-free Die Casting by Overflow Design Optimization.” 2014. Web. 15 Jan 2021.

Vancouver:

Roychowdhury S. Investigation of Flash-free Die Casting by Overflow Design Optimization. [Internet] [Masters thesis]. The Ohio State University; 2014. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1406121850.

Council of Science Editors:

Roychowdhury S. Investigation of Flash-free Die Casting by Overflow Design Optimization. [Masters Thesis]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1406121850

11. Roychowdhury, Sayak. Data-Driven Policies for Manufacturing Systems and Cyber Vulnerability Maintenance.

Degree: PhD, Industrial and Systems Engineering, 2017, The Ohio State University

 This research explores deterministic and stochastic policies to help organizations make data-driven optimal decisions. The two major application areas identified in this research are manufacturing… (more)

Subjects/Keywords: Industrial Engineering; Operations Research; Operations Research; Scheduling; Automotive Manufacturing; Stamping; Genetic Algorithm; Partially Observable Markov Decision Process; Bayesian Adaptive Markov Decision Process; Cyber security; Cyber vulnerability maintenance

…M.S. (ISE), The Ohio State University, Columbus, Ohio USA 2016… …By Overflow Design. (Masters thesis, The Ohio State University). Roychowdhury, S… …Graduate Teaching Associate, Department of Integrated System Engineering, The Ohio State… …University, Columbus, Ohio USA 2014… 

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APA (6th Edition):

Roychowdhury, S. (2017). Data-Driven Policies for Manufacturing Systems and Cyber Vulnerability Maintenance. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1493905616531091

Chicago Manual of Style (16th Edition):

Roychowdhury, Sayak. “Data-Driven Policies for Manufacturing Systems and Cyber Vulnerability Maintenance.” 2017. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1493905616531091.

MLA Handbook (7th Edition):

Roychowdhury, Sayak. “Data-Driven Policies for Manufacturing Systems and Cyber Vulnerability Maintenance.” 2017. Web. 15 Jan 2021.

Vancouver:

Roychowdhury S. Data-Driven Policies for Manufacturing Systems and Cyber Vulnerability Maintenance. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1493905616531091.

Council of Science Editors:

Roychowdhury S. Data-Driven Policies for Manufacturing Systems and Cyber Vulnerability Maintenance. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1493905616531091

12. Zugelder, Thomas J. Lean Six Sigma Literature: A Review and Agenda for Future Research.

Degree: MS, Industrial and Systems Engineering, 2012, The Ohio State University

 The purpose of this thesis is to investigate the trends in published research concerning Lean Six Sigma and continuous improvement. We use published research in… (more)

Subjects/Keywords: Industrial Engineering; Lean Six Sigma; Capability Maturity Model; Sustainability

Ohio State University, University of Bath, etc. Manufacturing (M), Service (S… …Conference 16 Levels Industrial (I), Academic (A), or Both (IA) The… 

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APA (6th Edition):

Zugelder, T. J. (2012). Lean Six Sigma Literature: A Review and Agenda for Future Research. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1331160007

Chicago Manual of Style (16th Edition):

Zugelder, Thomas J. “Lean Six Sigma Literature: A Review and Agenda for Future Research.” 2012. Masters Thesis, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1331160007.

MLA Handbook (7th Edition):

Zugelder, Thomas J. “Lean Six Sigma Literature: A Review and Agenda for Future Research.” 2012. Web. 15 Jan 2021.

Vancouver:

Zugelder TJ. Lean Six Sigma Literature: A Review and Agenda for Future Research. [Internet] [Masters thesis]. The Ohio State University; 2012. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1331160007.

Council of Science Editors:

Zugelder TJ. Lean Six Sigma Literature: A Review and Agenda for Future Research. [Masters Thesis]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1331160007

13. Hari, Rohit. KNOWLEDGE DISCOVERY USING DATA ANALYSIS TECHNIQUES AND INVERSE EXTREME VALUE STATISTICS TO BETTER PREDICT LIFE OF A BEARING.

Degree: MS, Industrial and Systems Engineering, 2013, The Ohio State University

 Predicting bearing life is an important task for bearing companies because it is vital in the eyes of the customer. Testing methods have improved a… (more)

Subjects/Keywords: Industrial Engineering

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APA (6th Edition):

Hari, R. (2013). KNOWLEDGE DISCOVERY USING DATA ANALYSIS TECHNIQUES AND INVERSE EXTREME VALUE STATISTICS TO BETTER PREDICT LIFE OF A BEARING. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1366304299

Chicago Manual of Style (16th Edition):

Hari, Rohit. “KNOWLEDGE DISCOVERY USING DATA ANALYSIS TECHNIQUES AND INVERSE EXTREME VALUE STATISTICS TO BETTER PREDICT LIFE OF A BEARING.” 2013. Masters Thesis, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366304299.

MLA Handbook (7th Edition):

Hari, Rohit. “KNOWLEDGE DISCOVERY USING DATA ANALYSIS TECHNIQUES AND INVERSE EXTREME VALUE STATISTICS TO BETTER PREDICT LIFE OF A BEARING.” 2013. Web. 15 Jan 2021.

Vancouver:

Hari R. KNOWLEDGE DISCOVERY USING DATA ANALYSIS TECHNIQUES AND INVERSE EXTREME VALUE STATISTICS TO BETTER PREDICT LIFE OF A BEARING. [Internet] [Masters thesis]. The Ohio State University; 2013. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1366304299.

Council of Science Editors:

Hari R. KNOWLEDGE DISCOVERY USING DATA ANALYSIS TECHNIQUES AND INVERSE EXTREME VALUE STATISTICS TO BETTER PREDICT LIFE OF A BEARING. [Masters Thesis]. The Ohio State University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1366304299

14. Raqab, Alah. GAINING MONITORING CAPABILITIES AND INSIGHTS INTO RESPONSES FROM PHISHING DATA.

Degree: MS, Industrial and Systems Engineering, 2014, The Ohio State University

 Cyber-attacks are considered the greatest domestic security threat in the United States and among the greatest international security threats. In the recent past, phishing and… (more)

Subjects/Keywords: Industrial Engineering; Statistics; Operations Research; Cyber-attacks; phishing; design for six sigma; quality contorl

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APA (6th Edition):

Raqab, A. (2014). GAINING MONITORING CAPABILITIES AND INSIGHTS INTO RESPONSES FROM PHISHING DATA. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1397504041

Chicago Manual of Style (16th Edition):

Raqab, Alah. “GAINING MONITORING CAPABILITIES AND INSIGHTS INTO RESPONSES FROM PHISHING DATA.” 2014. Masters Thesis, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397504041.

MLA Handbook (7th Edition):

Raqab, Alah. “GAINING MONITORING CAPABILITIES AND INSIGHTS INTO RESPONSES FROM PHISHING DATA.” 2014. Web. 15 Jan 2021.

Vancouver:

Raqab A. GAINING MONITORING CAPABILITIES AND INSIGHTS INTO RESPONSES FROM PHISHING DATA. [Internet] [Masters thesis]. The Ohio State University; 2014. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1397504041.

Council of Science Editors:

Raqab A. GAINING MONITORING CAPABILITIES AND INSIGHTS INTO RESPONSES FROM PHISHING DATA. [Masters Thesis]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1397504041


The Ohio State University

15. Ittiwattana, Waraporn. A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations.

Degree: PhD, Industrial and Systems Engineering, 2002, The Ohio State University

  This dissertation contains the first proof of convergence of a genetic algorithm in the context of stochastic optimization. The class of stochastic optimization problems… (more)

Subjects/Keywords: Genetic Algorithms; Stochastic Optimization; Monte Carlo Methods; Time Non-homogenous Markov Process; Taguchi Methods; Signal-to-Noise Ratio; Parameter Design; Multicriterion Optimization; Global Supply Chain Modeling and Optimization; Facility Location

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APA (6th Edition):

Ittiwattana, W. (2002). A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1030366020

Chicago Manual of Style (16th Edition):

Ittiwattana, Waraporn. “A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations.” 2002. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1030366020.

MLA Handbook (7th Edition):

Ittiwattana, Waraporn. “A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations.” 2002. Web. 15 Jan 2021.

Vancouver:

Ittiwattana W. A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations. [Internet] [Doctoral dissertation]. The Ohio State University; 2002. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1030366020.

Council of Science Editors:

Ittiwattana W. A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations. [Doctoral Dissertation]. The Ohio State University; 2002. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1030366020


The Ohio State University

16. Chantarat, Navara. Modern design of experiments methods for screening and experimentations with mixture and qualitative variables.

Degree: PhD, Industrial and Systems Engineering, 2003, The Ohio State University

 This dissertation re-examines some of the most basic design of experiment methods with respect to their ability to achieve intuitive objectives. For example, it provides… (more)

Subjects/Keywords: Design of Experiments; DOE; Fractional Factorial Design; Mixture Design; Response Surface Method; Response Surface Design; Qualitative Factor; Categorical Factor; Qualitative Variable; Categorical Variable

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APA (6th Edition):

Chantarat, N. (2003). Modern design of experiments methods for screening and experimentations with mixture and qualitative variables. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1064198056

Chicago Manual of Style (16th Edition):

Chantarat, Navara. “Modern design of experiments methods for screening and experimentations with mixture and qualitative variables.” 2003. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1064198056.

MLA Handbook (7th Edition):

Chantarat, Navara. “Modern design of experiments methods for screening and experimentations with mixture and qualitative variables.” 2003. Web. 15 Jan 2021.

Vancouver:

Chantarat N. Modern design of experiments methods for screening and experimentations with mixture and qualitative variables. [Internet] [Doctoral dissertation]. The Ohio State University; 2003. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1064198056.

Council of Science Editors:

Chantarat N. Modern design of experiments methods for screening and experimentations with mixture and qualitative variables. [Doctoral Dissertation]. The Ohio State University; 2003. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1064198056


The Ohio State University

17. Ferhatosmanoglu, Nilgun. Optimal design of experiments for emerging biological and computational applications.

Degree: PhD, Industrial and Systems Engineering, 2007, The Ohio State University

 This dissertation explores two types of applications of applied statistics techniques to develop methods associated with bioinformatics and information retrieval. The first type relates to… (more)

Subjects/Keywords: Engineering, Industrial; design of experiments; discrete choice analysis; mixture experiments; bioinformatics; microarrays; information retrieval; search engines; relevance feedback

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APA (6th Edition):

Ferhatosmanoglu, N. (2007). Optimal design of experiments for emerging biological and computational applications. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1179177867

Chicago Manual of Style (16th Edition):

Ferhatosmanoglu, Nilgun. “Optimal design of experiments for emerging biological and computational applications.” 2007. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1179177867.

MLA Handbook (7th Edition):

Ferhatosmanoglu, Nilgun. “Optimal design of experiments for emerging biological and computational applications.” 2007. Web. 15 Jan 2021.

Vancouver:

Ferhatosmanoglu N. Optimal design of experiments for emerging biological and computational applications. [Internet] [Doctoral dissertation]. The Ohio State University; 2007. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1179177867.

Council of Science Editors:

Ferhatosmanoglu N. Optimal design of experiments for emerging biological and computational applications. [Doctoral Dissertation]. The Ohio State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1179177867


The Ohio State University

18. Schenk, Jason Robert. Meta-uncertainty and resilience with applications in intelligence analysis.

Degree: PhD, Industrial and Systems Engineering, 2008, The Ohio State University

 Uncertainty plays a major and inevitable role in human decision-making. Meta-uncertainty about the uncertainty can also be important but it is generally less studied. Such… (more)

Subjects/Keywords: Latent Dirichlet Allocation; prediction interval; stress-strain; consequence-likelihood

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APA (6th Edition):

Schenk, J. R. (2008). Meta-uncertainty and resilience with applications in intelligence analysis. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269

Chicago Manual of Style (16th Edition):

Schenk, Jason Robert. “Meta-uncertainty and resilience with applications in intelligence analysis.” 2008. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269.

MLA Handbook (7th Edition):

Schenk, Jason Robert. “Meta-uncertainty and resilience with applications in intelligence analysis.” 2008. Web. 15 Jan 2021.

Vancouver:

Schenk JR. Meta-uncertainty and resilience with applications in intelligence analysis. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269.

Council of Science Editors:

Schenk JR. Meta-uncertainty and resilience with applications in intelligence analysis. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269


The Ohio State University

19. Zheng, Ning. Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision.

Degree: PhD, Industrial and Systems Engineering, 2008, The Ohio State University

  Massive databases with free-style text fields are a common feature of virtually all types of organizations from hospitals to aviation companies to governmental agencies.… (more)

Subjects/Keywords: topic models; Bayesian inference; Dirichlet processes; experimental design; hierarchical Dirichlet processes

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APA (6th Edition):

Zheng, N. (2008). Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1199237529

Chicago Manual of Style (16th Edition):

Zheng, Ning. “Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision.” 2008. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1199237529.

MLA Handbook (7th Edition):

Zheng, Ning. “Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision.” 2008. Web. 15 Jan 2021.

Vancouver:

Zheng N. Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199237529.

Council of Science Editors:

Zheng N. Discovering interpretable topics in free-style text: diagnostics, rare topics, and topic supervision. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199237529


The Ohio State University

20. Tseng, Shih-Hsien. Bayesian and Semi-Bayesian regression applied to manufacturing wooden products.

Degree: PhD, Industrial and Systems Engineering, 2008, The Ohio State University

  In the mid-twentieth century, George Box and others argued convincingly that model misspecification errors or "bias" should dominate our thinking about planning experiments. The… (more)

Subjects/Keywords: Engineering, Industrial; multiple regression; bias; experimental design; stochastic search variable selection; SSVS

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APA (6th Edition):

Tseng, S. (2008). Bayesian and Semi-Bayesian regression applied to manufacturing wooden products. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1199240473

Chicago Manual of Style (16th Edition):

Tseng, Shih-Hsien. “Bayesian and Semi-Bayesian regression applied to manufacturing wooden products.” 2008. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1199240473.

MLA Handbook (7th Edition):

Tseng, Shih-Hsien. “Bayesian and Semi-Bayesian regression applied to manufacturing wooden products.” 2008. Web. 15 Jan 2021.

Vancouver:

Tseng S. Bayesian and Semi-Bayesian regression applied to manufacturing wooden products. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199240473.

Council of Science Editors:

Tseng S. Bayesian and Semi-Bayesian regression applied to manufacturing wooden products. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199240473


The Ohio State University

21. Rajagopalan, Ravishankar. Response-Probability Model Analysis Plots With Applications in Engineering and Clinical Research.

Degree: PhD, Industrial and Systems Engineering, 2009, The Ohio State University

  In certain data analyses, the uncertainties associated with confounding or multicollinearity should result in a recommendation for additional data collection. In others cases, all… (more)

Subjects/Keywords: Industrial Engineering; Response-Probability Model Analysis Plots; RPMAP; Fractional Factorials; Robust Design; On-hand Data; Clinical Research Center

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APA (6th Edition):

Rajagopalan, R. (2009). Response-Probability Model Analysis Plots With Applications in Engineering and Clinical Research. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1238137483

Chicago Manual of Style (16th Edition):

Rajagopalan, Ravishankar. “Response-Probability Model Analysis Plots With Applications in Engineering and Clinical Research.” 2009. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1238137483.

MLA Handbook (7th Edition):

Rajagopalan, Ravishankar. “Response-Probability Model Analysis Plots With Applications in Engineering and Clinical Research.” 2009. Web. 15 Jan 2021.

Vancouver:

Rajagopalan R. Response-Probability Model Analysis Plots With Applications in Engineering and Clinical Research. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1238137483.

Council of Science Editors:

Rajagopalan R. Response-Probability Model Analysis Plots With Applications in Engineering and Clinical Research. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1238137483


The Ohio State University

22. Brady, James E. Six sigma and the university:teaching, research, and meso-analysis.

Degree: PhD, Industrial and Systems Engineering, 2005, The Ohio State University

 Six Sigma was introduced by industry practitioners and consultants as a means to improve any given company’s competitive position. Its acceptance by industry has been… (more)

Subjects/Keywords: Engineering, Industrial; Six Sigma; Meso-analysis

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APA (6th Edition):

Brady, J. E. (2005). Six sigma and the university:teaching, research, and meso-analysis. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1110222811

Chicago Manual of Style (16th Edition):

Brady, James E. “Six sigma and the university:teaching, research, and meso-analysis.” 2005. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1110222811.

MLA Handbook (7th Edition):

Brady, James E. “Six sigma and the university:teaching, research, and meso-analysis.” 2005. Web. 15 Jan 2021.

Vancouver:

Brady JE. Six sigma and the university:teaching, research, and meso-analysis. [Internet] [Doctoral dissertation]. The Ohio State University; 2005. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1110222811.

Council of Science Editors:

Brady JE. Six sigma and the university:teaching, research, and meso-analysis. [Doctoral Dissertation]. The Ohio State University; 2005. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1110222811


The Ohio State University

23. Taslim, Cenny. Multi-Stage Experimental Planning and Analysis for Forward-Inverse Regression Applied to Genetic Network Modeling.

Degree: PhD, Industrial and Systems Engineering, 2008, The Ohio State University

 This dissertation proposes methods for steady state linear system identification for both forward cases in which prediction of outputs for new inputs are desired and… (more)

Subjects/Keywords: Bioinformatics; Biostatistics; Engineering; Operations Research; Statistics; Optimal Design of Experiments; D-Optimality; Inverse Regression; Transcriptional Networks; Statistical Simulation; System Identification; Steady-State; Forward-Inverse Modeling; Bayesian regression

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APA (6th Edition):

Taslim, C. (2008). Multi-Stage Experimental Planning and Analysis for Forward-Inverse Regression Applied to Genetic Network Modeling. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1213286112

Chicago Manual of Style (16th Edition):

Taslim, Cenny. “Multi-Stage Experimental Planning and Analysis for Forward-Inverse Regression Applied to Genetic Network Modeling.” 2008. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1213286112.

MLA Handbook (7th Edition):

Taslim, Cenny. “Multi-Stage Experimental Planning and Analysis for Forward-Inverse Regression Applied to Genetic Network Modeling.” 2008. Web. 15 Jan 2021.

Vancouver:

Taslim C. Multi-Stage Experimental Planning and Analysis for Forward-Inverse Regression Applied to Genetic Network Modeling. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1213286112.

Council of Science Editors:

Taslim C. Multi-Stage Experimental Planning and Analysis for Forward-Inverse Regression Applied to Genetic Network Modeling. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1213286112

.