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You searched for +publisher:"Duquesne University" +contributor:("John Kern"). Showing records 1 – 19 of 19 total matches.

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Duquesne University

1. Benis, Jordan David. Re-Evaluating Performance Measurement: New Mathematical Methods to Address Common Performance Measurement Challenges.

Degree: MS, Computational Mathematics, 2018, Duquesne University

  Performance Measurement is an essential discipline for any business. Robust and reliable performance metrics for people, processes, and technologies enable a business to identify… (more)

Subjects/Keywords: Performance Management; Performance Measurement; Performance Metrics; Performance; Employee Performance; Computational Engineering; Mathematics; Operations and Supply Chain Management; Statistics and Probability

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APA (6th Edition):

Benis, J. D. (2018). Re-Evaluating Performance Measurement: New Mathematical Methods to Address Common Performance Measurement Challenges. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/1427

Chicago Manual of Style (16th Edition):

Benis, Jordan David. “Re-Evaluating Performance Measurement: New Mathematical Methods to Address Common Performance Measurement Challenges.” 2018. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/1427.

MLA Handbook (7th Edition):

Benis, Jordan David. “Re-Evaluating Performance Measurement: New Mathematical Methods to Address Common Performance Measurement Challenges.” 2018. Web. 21 Feb 2019.

Vancouver:

Benis JD. Re-Evaluating Performance Measurement: New Mathematical Methods to Address Common Performance Measurement Challenges. [Internet] [Masters thesis]. Duquesne University; 2018. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/1427.

Council of Science Editors:

Benis JD. Re-Evaluating Performance Measurement: New Mathematical Methods to Address Common Performance Measurement Challenges. [Masters Thesis]. Duquesne University; 2018. Available from: https://dsc.duq.edu/etd/1427


Duquesne University

2. Baumgardner, Adam. Accounting for Correlation in the Analysis of Randomized Controlled Trials with Multiple Layers of Clustering.

Degree: MS, Computational Mathematics, 2016, Duquesne University

 A common goal in medical research is to determine the effect that a treatment has on subjects over time. Unfortunately, the analysis of data from… (more)

Subjects/Keywords: Longitudinal Data; Mixed Effects Models

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APA (6th Edition):

Baumgardner, A. (2016). Accounting for Correlation in the Analysis of Randomized Controlled Trials with Multiple Layers of Clustering. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/296

Chicago Manual of Style (16th Edition):

Baumgardner, Adam. “Accounting for Correlation in the Analysis of Randomized Controlled Trials with Multiple Layers of Clustering.” 2016. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/296.

MLA Handbook (7th Edition):

Baumgardner, Adam. “Accounting for Correlation in the Analysis of Randomized Controlled Trials with Multiple Layers of Clustering.” 2016. Web. 21 Feb 2019.

Vancouver:

Baumgardner A. Accounting for Correlation in the Analysis of Randomized Controlled Trials with Multiple Layers of Clustering. [Internet] [Masters thesis]. Duquesne University; 2016. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/296.

Council of Science Editors:

Baumgardner A. Accounting for Correlation in the Analysis of Randomized Controlled Trials with Multiple Layers of Clustering. [Masters Thesis]. Duquesne University; 2016. Available from: https://dsc.duq.edu/etd/296


Duquesne University

3. Kroft, Amanda Marie. The Insignificance of Feature Frequency in Classifying Gender of Twitter Tweets.

Degree: MS, Computational Mathematics, 2013, Duquesne University

 In 2011, Internet users spent almost 23% of their time on social media sites such as Twitter and Facebook. Twitter alone was estimated to have… (more)

Subjects/Keywords: Frequency; Gender; Java; Tweets; Twitter

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APA (6th Edition):

Kroft, A. M. (2013). The Insignificance of Feature Frequency in Classifying Gender of Twitter Tweets. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/781

Chicago Manual of Style (16th Edition):

Kroft, Amanda Marie. “The Insignificance of Feature Frequency in Classifying Gender of Twitter Tweets.” 2013. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/781.

MLA Handbook (7th Edition):

Kroft, Amanda Marie. “The Insignificance of Feature Frequency in Classifying Gender of Twitter Tweets.” 2013. Web. 21 Feb 2019.

Vancouver:

Kroft AM. The Insignificance of Feature Frequency in Classifying Gender of Twitter Tweets. [Internet] [Masters thesis]. Duquesne University; 2013. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/781.

Council of Science Editors:

Kroft AM. The Insignificance of Feature Frequency in Classifying Gender of Twitter Tweets. [Masters Thesis]. Duquesne University; 2013. Available from: https://dsc.duq.edu/etd/781


Duquesne University

4. Over, Lisa. Losing Schools to the Economic Chasm: A Multiple Regression Analysis of Family Income and School Performance Profile Scores.

Degree: MS, Computational Mathematics, 2015, Duquesne University

 The No Child Left Behind (NCLB) era of educational reform, which is now at the close of its 14th year, focuses on improving student learning… (more)

Subjects/Keywords: American Education; Family Income; NCLB; No Child Left Behind; School Performance Profile Score; Standardized Tests

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APA (6th Edition):

Over, L. (2015). Losing Schools to the Economic Chasm: A Multiple Regression Analysis of Family Income and School Performance Profile Scores. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/1002

Chicago Manual of Style (16th Edition):

Over, Lisa. “Losing Schools to the Economic Chasm: A Multiple Regression Analysis of Family Income and School Performance Profile Scores.” 2015. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/1002.

MLA Handbook (7th Edition):

Over, Lisa. “Losing Schools to the Economic Chasm: A Multiple Regression Analysis of Family Income and School Performance Profile Scores.” 2015. Web. 21 Feb 2019.

Vancouver:

Over L. Losing Schools to the Economic Chasm: A Multiple Regression Analysis of Family Income and School Performance Profile Scores. [Internet] [Masters thesis]. Duquesne University; 2015. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/1002.

Council of Science Editors:

Over L. Losing Schools to the Economic Chasm: A Multiple Regression Analysis of Family Income and School Performance Profile Scores. [Masters Thesis]. Duquesne University; 2015. Available from: https://dsc.duq.edu/etd/1002


Duquesne University

5. Papke, Sarah. A Review of 'Big Data' Variable Selection Procedures For Use in Predictive Modeling.

Degree: MS, Computational Mathematics, 2017, Duquesne University

  Several problems arise when attempting to use traditional predictive modeling techniques on ‘big data.’ For instance, multiple linear regression models cannot be used on… (more)

Subjects/Keywords: Dimension Reduction; Partial Least Squares; Penalized Regression; Predictive Modeling; Regression; Selective Inference

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APA (6th Edition):

Papke, S. (2017). A Review of 'Big Data' Variable Selection Procedures For Use in Predictive Modeling. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/182

Chicago Manual of Style (16th Edition):

Papke, Sarah. “A Review of 'Big Data' Variable Selection Procedures For Use in Predictive Modeling.” 2017. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/182.

MLA Handbook (7th Edition):

Papke, Sarah. “A Review of 'Big Data' Variable Selection Procedures For Use in Predictive Modeling.” 2017. Web. 21 Feb 2019.

Vancouver:

Papke S. A Review of 'Big Data' Variable Selection Procedures For Use in Predictive Modeling. [Internet] [Masters thesis]. Duquesne University; 2017. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/182.

Council of Science Editors:

Papke S. A Review of 'Big Data' Variable Selection Procedures For Use in Predictive Modeling. [Masters Thesis]. Duquesne University; 2017. Available from: https://dsc.duq.edu/etd/182


Duquesne University

6. McKibben, Michael. Predicting Bankruptcy and Catastrophic Loss: A Portfolio Approach.

Degree: MS, Computational Mathematics, 2017, Duquesne University

  This paper uses logistic regression to assign risk of catastrophic loss (defined as a loss of 80% or more of market cap value) to… (more)

Subjects/Keywords: Bankruptcy; catastrophic; cusp; logistic; Portfolio; regression

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APA (6th Edition):

McKibben, M. (2017). Predicting Bankruptcy and Catastrophic Loss: A Portfolio Approach. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/140

Chicago Manual of Style (16th Edition):

McKibben, Michael. “Predicting Bankruptcy and Catastrophic Loss: A Portfolio Approach.” 2017. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/140.

MLA Handbook (7th Edition):

McKibben, Michael. “Predicting Bankruptcy and Catastrophic Loss: A Portfolio Approach.” 2017. Web. 21 Feb 2019.

Vancouver:

McKibben M. Predicting Bankruptcy and Catastrophic Loss: A Portfolio Approach. [Internet] [Masters thesis]. Duquesne University; 2017. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/140.

Council of Science Editors:

McKibben M. Predicting Bankruptcy and Catastrophic Loss: A Portfolio Approach. [Masters Thesis]. Duquesne University; 2017. Available from: https://dsc.duq.edu/etd/140


Duquesne University

7. Overly, James Orlo. The Open Class Authorship Attribution Problem: A Comparison of Mixture-of-Experts Methods within the JGAAP Framework.

Degree: MS, Computational Mathematics, 2014, Duquesne University

 In this paper, we seek to describe, test, evaluate, and compare methods of open class attribution that utilize multiple unique closed class attributions in a… (more)

Subjects/Keywords: Authorship Attribution; JGAAP; Open Class

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APA (6th Edition):

Overly, J. O. (2014). The Open Class Authorship Attribution Problem: A Comparison of Mixture-of-Experts Methods within the JGAAP Framework. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/1003

Chicago Manual of Style (16th Edition):

Overly, James Orlo. “The Open Class Authorship Attribution Problem: A Comparison of Mixture-of-Experts Methods within the JGAAP Framework.” 2014. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/1003.

MLA Handbook (7th Edition):

Overly, James Orlo. “The Open Class Authorship Attribution Problem: A Comparison of Mixture-of-Experts Methods within the JGAAP Framework.” 2014. Web. 21 Feb 2019.

Vancouver:

Overly JO. The Open Class Authorship Attribution Problem: A Comparison of Mixture-of-Experts Methods within the JGAAP Framework. [Internet] [Masters thesis]. Duquesne University; 2014. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/1003.

Council of Science Editors:

Overly JO. The Open Class Authorship Attribution Problem: A Comparison of Mixture-of-Experts Methods within the JGAAP Framework. [Masters Thesis]. Duquesne University; 2014. Available from: https://dsc.duq.edu/etd/1003


Duquesne University

8. Maldonado, Hernan. Bayesian Regression Inference Using a Normal Mixture Model.

Degree: MS, Computational Mathematics, 2012, Duquesne University

 In this thesis we develop a two component mixture model to perform a Bayesian regression. We implement our model computationally using the Gibbs sampler algorithm… (more)

Subjects/Keywords: Bayesian regression; Gibbs sampler; Label switching problem; Latent variables; Mixture models; Two component

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APA (6th Edition):

Maldonado, H. (2012). Bayesian Regression Inference Using a Normal Mixture Model. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/859

Chicago Manual of Style (16th Edition):

Maldonado, Hernan. “Bayesian Regression Inference Using a Normal Mixture Model.” 2012. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/859.

MLA Handbook (7th Edition):

Maldonado, Hernan. “Bayesian Regression Inference Using a Normal Mixture Model.” 2012. Web. 21 Feb 2019.

Vancouver:

Maldonado H. Bayesian Regression Inference Using a Normal Mixture Model. [Internet] [Masters thesis]. Duquesne University; 2012. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/859.

Council of Science Editors:

Maldonado H. Bayesian Regression Inference Using a Normal Mixture Model. [Masters Thesis]. Duquesne University; 2012. Available from: https://dsc.duq.edu/etd/859


Duquesne University

9. Nelson, Bryan. Modeling the NCAA Tournament Through Bayesian Logistic Regression.

Degree: MS, Computational Mathematics, 2012, Duquesne University

 Many rating systems exist that order the Division I teams in Men's College Basketball that compete in the NCAA Tournament, such as seeding teams on… (more)

Subjects/Keywords: Bayesian; Logistic regression; MCMC; NCAA

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APA (6th Edition):

Nelson, B. (2012). Modeling the NCAA Tournament Through Bayesian Logistic Regression. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/970

Chicago Manual of Style (16th Edition):

Nelson, Bryan. “Modeling the NCAA Tournament Through Bayesian Logistic Regression.” 2012. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/970.

MLA Handbook (7th Edition):

Nelson, Bryan. “Modeling the NCAA Tournament Through Bayesian Logistic Regression.” 2012. Web. 21 Feb 2019.

Vancouver:

Nelson B. Modeling the NCAA Tournament Through Bayesian Logistic Regression. [Internet] [Masters thesis]. Duquesne University; 2012. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/970.

Council of Science Editors:

Nelson B. Modeling the NCAA Tournament Through Bayesian Logistic Regression. [Masters Thesis]. Duquesne University; 2012. Available from: https://dsc.duq.edu/etd/970


Duquesne University

10. Sharker, Md Monir Hossain. Multivariate Outlier Mining Using Cluster Analysis: Case Study - National Health Interview Survey.

Degree: MS, Computational Mathematics, 2010, Duquesne University

 Outlier mining is a fundamental issue in many statistical analyses, especially in multivariate cases. Outliers may exert undue influence on outcomes of the analysis. In… (more)

Subjects/Keywords: Adolescent obesity; Hierarchical clustering; Multivariate Outlier; NHIS; Outlier Mining; Similarity(Distance) Measure

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APA (6th Edition):

Sharker, M. M. H. (2010). Multivariate Outlier Mining Using Cluster Analysis: Case Study - National Health Interview Survey. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/1179

Chicago Manual of Style (16th Edition):

Sharker, Md Monir Hossain. “Multivariate Outlier Mining Using Cluster Analysis: Case Study - National Health Interview Survey.” 2010. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/1179.

MLA Handbook (7th Edition):

Sharker, Md Monir Hossain. “Multivariate Outlier Mining Using Cluster Analysis: Case Study - National Health Interview Survey.” 2010. Web. 21 Feb 2019.

Vancouver:

Sharker MMH. Multivariate Outlier Mining Using Cluster Analysis: Case Study - National Health Interview Survey. [Internet] [Masters thesis]. Duquesne University; 2010. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/1179.

Council of Science Editors:

Sharker MMH. Multivariate Outlier Mining Using Cluster Analysis: Case Study - National Health Interview Survey. [Masters Thesis]. Duquesne University; 2010. Available from: https://dsc.duq.edu/etd/1179


Duquesne University

11. Smith, Marisa. A No Free Lunch Result for Optimization and Its Implications.

Degree: MS, Computational Mathematics, 2009, Duquesne University

 The No Free Lunch (NFL) theorems for optimization tell us that when averaged over all possible optimization problems the performance of any two optimization algorithms… (more)

Subjects/Keywords: No Free Lunch (NFL) theorems; optimization; probability theory; learning theory

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APA (6th Edition):

Smith, M. (2009). A No Free Lunch Result for Optimization and Its Implications. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/1216

Chicago Manual of Style (16th Edition):

Smith, Marisa. “A No Free Lunch Result for Optimization and Its Implications.” 2009. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/1216.

MLA Handbook (7th Edition):

Smith, Marisa. “A No Free Lunch Result for Optimization and Its Implications.” 2009. Web. 21 Feb 2019.

Vancouver:

Smith M. A No Free Lunch Result for Optimization and Its Implications. [Internet] [Masters thesis]. Duquesne University; 2009. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/1216.

Council of Science Editors:

Smith M. A No Free Lunch Result for Optimization and Its Implications. [Masters Thesis]. Duquesne University; 2009. Available from: https://dsc.duq.edu/etd/1216


Duquesne University

12. Barreiro, Lisa. Rooftop Gardening in an Urban Setting: Impacts and Implications.

Degree: MS, Environmental Science and Management (ESM), 2012, Duquesne University

 Research on green roofs has focused on grasses, sedums, and forbs. The aims of this thesis were to determine the potential of rooftop gardens (RTGs)… (more)

Subjects/Keywords: Biomass; CO2 sequestration; COS; CSS; Environmental impact; Stormwater management

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APA (6th Edition):

Barreiro, L. (2012). Rooftop Gardening in an Urban Setting: Impacts and Implications. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/278

Chicago Manual of Style (16th Edition):

Barreiro, Lisa. “Rooftop Gardening in an Urban Setting: Impacts and Implications.” 2012. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/278.

MLA Handbook (7th Edition):

Barreiro, Lisa. “Rooftop Gardening in an Urban Setting: Impacts and Implications.” 2012. Web. 21 Feb 2019.

Vancouver:

Barreiro L. Rooftop Gardening in an Urban Setting: Impacts and Implications. [Internet] [Masters thesis]. Duquesne University; 2012. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/278.

Council of Science Editors:

Barreiro L. Rooftop Gardening in an Urban Setting: Impacts and Implications. [Masters Thesis]. Duquesne University; 2012. Available from: https://dsc.duq.edu/etd/278


Duquesne University

13. Cotter, Steven. Improving Search Results with Automated Summarization and Sentence Clustering.

Degree: MS, Computational Mathematics, 2012, Duquesne University

 Have you ever searched for something on the web and been overloaded with irrelevant results? Many search engines tend to cast a very wide net… (more)

Subjects/Keywords: Automatic summarization; Extractive summarization; Search engine precision; Sentence clustering; Spectral clustering; TextRank

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APA (6th Edition):

Cotter, S. (2012). Improving Search Results with Automated Summarization and Sentence Clustering. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/434

Chicago Manual of Style (16th Edition):

Cotter, Steven. “Improving Search Results with Automated Summarization and Sentence Clustering.” 2012. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/434.

MLA Handbook (7th Edition):

Cotter, Steven. “Improving Search Results with Automated Summarization and Sentence Clustering.” 2012. Web. 21 Feb 2019.

Vancouver:

Cotter S. Improving Search Results with Automated Summarization and Sentence Clustering. [Internet] [Masters thesis]. Duquesne University; 2012. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/434.

Council of Science Editors:

Cotter S. Improving Search Results with Automated Summarization and Sentence Clustering. [Masters Thesis]. Duquesne University; 2012. Available from: https://dsc.duq.edu/etd/434


Duquesne University

14. Galiardi, Laura Marie. Techniques for Estimating the Variance of Specific Estimators within Complex Surveys.

Degree: MS, Computational Mathematics, 2015, Duquesne University

 The objective of this thesis is to present the various procedures for estimating the variance of specific statistics obtained from different types of survey designs,… (more)

Subjects/Keywords: Bootstrap; complex surveys; Jackknife; NHANES; variance

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APA (6th Edition):

Galiardi, L. M. (2015). Techniques for Estimating the Variance of Specific Estimators within Complex Surveys. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/563

Chicago Manual of Style (16th Edition):

Galiardi, Laura Marie. “Techniques for Estimating the Variance of Specific Estimators within Complex Surveys.” 2015. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/563.

MLA Handbook (7th Edition):

Galiardi, Laura Marie. “Techniques for Estimating the Variance of Specific Estimators within Complex Surveys.” 2015. Web. 21 Feb 2019.

Vancouver:

Galiardi LM. Techniques for Estimating the Variance of Specific Estimators within Complex Surveys. [Internet] [Masters thesis]. Duquesne University; 2015. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/563.

Council of Science Editors:

Galiardi LM. Techniques for Estimating the Variance of Specific Estimators within Complex Surveys. [Masters Thesis]. Duquesne University; 2015. Available from: https://dsc.duq.edu/etd/563


Duquesne University

15. Garuccio, Anthony. A Genetic Programming Approach to Solving Optimization Problems on Agent-Based Models.

Degree: MS, Computational Mathematics, 2016, Duquesne University

 In this thesis, we present a novel approach to solving optimization problems that are defined on agent-based models (ABM). The approach utilizes concepts in genetic… (more)

Subjects/Keywords: Agent Based Modeling; Genetic Programing; Optimal Control; Sugarscape; Taxation

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APA (6th Edition):

Garuccio, A. (2016). A Genetic Programming Approach to Solving Optimization Problems on Agent-Based Models. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/569

Chicago Manual of Style (16th Edition):

Garuccio, Anthony. “A Genetic Programming Approach to Solving Optimization Problems on Agent-Based Models.” 2016. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/569.

MLA Handbook (7th Edition):

Garuccio, Anthony. “A Genetic Programming Approach to Solving Optimization Problems on Agent-Based Models.” 2016. Web. 21 Feb 2019.

Vancouver:

Garuccio A. A Genetic Programming Approach to Solving Optimization Problems on Agent-Based Models. [Internet] [Masters thesis]. Duquesne University; 2016. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/569.

Council of Science Editors:

Garuccio A. A Genetic Programming Approach to Solving Optimization Problems on Agent-Based Models. [Masters Thesis]. Duquesne University; 2016. Available from: https://dsc.duq.edu/etd/569


Duquesne University

16. Guyer, Michael. Common Techniques in Graceful Tree Labeling with a New Computational Approach.

Degree: MS, Computational Mathematics, 2016, Duquesne University

 The graceful tree conjecture was first introduced over 50 years ago, and to this day it remains largely unresolved. Ideas for how to label arbitrary… (more)

Subjects/Keywords: Computational; Expansion; Graceful Labeling; Graph Theory; Tree

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APA (6th Edition):

Guyer, M. (2016). Common Techniques in Graceful Tree Labeling with a New Computational Approach. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/609

Chicago Manual of Style (16th Edition):

Guyer, Michael. “Common Techniques in Graceful Tree Labeling with a New Computational Approach.” 2016. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/609.

MLA Handbook (7th Edition):

Guyer, Michael. “Common Techniques in Graceful Tree Labeling with a New Computational Approach.” 2016. Web. 21 Feb 2019.

Vancouver:

Guyer M. Common Techniques in Graceful Tree Labeling with a New Computational Approach. [Internet] [Masters thesis]. Duquesne University; 2016. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/609.

Council of Science Editors:

Guyer M. Common Techniques in Graceful Tree Labeling with a New Computational Approach. [Masters Thesis]. Duquesne University; 2016. Available from: https://dsc.duq.edu/etd/609


Duquesne University

17. Hunter, Jennifer. Exploring autism prediction through logistic regression analysis with corrections for rare events data.

Degree: MS, Computational Mathematics, 2015, Duquesne University

 The study of rare events data in which observations of non-event outcomes far outnumber event outcomes makes inference under these circumstances quite difficult. Ideally, for… (more)

Subjects/Keywords: Pure sciences; Psychology; Autism; Logistic regression; Rare events

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APA (6th Edition):

Hunter, J. (2015). Exploring autism prediction through logistic regression analysis with corrections for rare events data. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/674

Chicago Manual of Style (16th Edition):

Hunter, Jennifer. “Exploring autism prediction through logistic regression analysis with corrections for rare events data.” 2015. Masters Thesis, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/674.

MLA Handbook (7th Edition):

Hunter, Jennifer. “Exploring autism prediction through logistic regression analysis with corrections for rare events data.” 2015. Web. 21 Feb 2019.

Vancouver:

Hunter J. Exploring autism prediction through logistic regression analysis with corrections for rare events data. [Internet] [Masters thesis]. Duquesne University; 2015. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/674.

Council of Science Editors:

Hunter J. Exploring autism prediction through logistic regression analysis with corrections for rare events data. [Masters Thesis]. Duquesne University; 2015. Available from: https://dsc.duq.edu/etd/674


Duquesne University

18. Radzvin, Linda. The Occurrence Of Moral Distress In Certified Registered Nurse Anesthetists.

Degree: PhD, Nursing, 2008, Duquesne University

 Registered nurses are frequently confronted with ethical dilemmas in their nursing practice. As a consequence of their decisions regarding ethical challenges, nurses report experiencing moral… (more)

Subjects/Keywords: moral distress; nurses; CRNAs

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

APA (6th Edition):

Radzvin, L. (2008). The Occurrence Of Moral Distress In Certified Registered Nurse Anesthetists. (Doctoral Dissertation). Duquesne University. Retrieved from https://dsc.duq.edu/etd/1079

Chicago Manual of Style (16th Edition):

Radzvin, Linda. “The Occurrence Of Moral Distress In Certified Registered Nurse Anesthetists.” 2008. Doctoral Dissertation, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/1079.

MLA Handbook (7th Edition):

Radzvin, Linda. “The Occurrence Of Moral Distress In Certified Registered Nurse Anesthetists.” 2008. Web. 21 Feb 2019.

Vancouver:

Radzvin L. The Occurrence Of Moral Distress In Certified Registered Nurse Anesthetists. [Internet] [Doctoral dissertation]. Duquesne University; 2008. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/1079.

Council of Science Editors:

Radzvin L. The Occurrence Of Moral Distress In Certified Registered Nurse Anesthetists. [Doctoral Dissertation]. Duquesne University; 2008. Available from: https://dsc.duq.edu/etd/1079


Duquesne University

19. Biddle, Virginia. Student Assistance Program Outcomes of Students at Risk for Suicide.

Degree: PhD, Nursing, 2008, Duquesne University

 The purpose of the study was to examine relationships between participation in Pennsylvania's Student Assistance Program (SAP) and educational outcomes (academic performance, promotion/graduation status, attendance,… (more)

Subjects/Keywords: academic performance; attendance; drug and alcohol use; promotion/graduation; suspensions; adolescence

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

APA (6th Edition):

Biddle, V. (2008). Student Assistance Program Outcomes of Students at Risk for Suicide. (Doctoral Dissertation). Duquesne University. Retrieved from https://dsc.duq.edu/etd/314

Chicago Manual of Style (16th Edition):

Biddle, Virginia. “Student Assistance Program Outcomes of Students at Risk for Suicide.” 2008. Doctoral Dissertation, Duquesne University. Accessed February 21, 2019. https://dsc.duq.edu/etd/314.

MLA Handbook (7th Edition):

Biddle, Virginia. “Student Assistance Program Outcomes of Students at Risk for Suicide.” 2008. Web. 21 Feb 2019.

Vancouver:

Biddle V. Student Assistance Program Outcomes of Students at Risk for Suicide. [Internet] [Doctoral dissertation]. Duquesne University; 2008. [cited 2019 Feb 21]. Available from: https://dsc.duq.edu/etd/314.

Council of Science Editors:

Biddle V. Student Assistance Program Outcomes of Students at Risk for Suicide. [Doctoral Dissertation]. Duquesne University; 2008. Available from: https://dsc.duq.edu/etd/314

.