East Tennessee State University Digital Commons @ East Tennessee State University Electronic Theses and Dissertations Student Works 8-2016 Newsvendor Models With Monte Carlo Sampling Ijeoma W. Ekwegh East Tennessee State University Follow this and additional works at: https://dc.etsu.edu/etd Part of the Applied Mathematics Commons, Applied Statistics Commons, Business Administration, Management, and Operations Commons, E-Commerce Commons, Fashion Business Commons, Finance and Financial Management Commons, Hospitality Administration and Management Commons, Operations and Supply Chain Management Commons, Other Mathematics Commons, Other Physical Sciences and Mathematics Commons, Probability Commons, Sales and Merchandising Commons, Statistical Methodology Commons, and the Statistical Models Commons Recommended Citation Ekwegh, Ijeoma W., "Newsvendor Models With Monte Carlo Sampling" (2016). Electronic Theses and Dissertations. Paper 3125. https://dc.etsu.edu/etd/3125 This Thesis - Open Access is brought to you for free and open access by the Student Works at Digital Commons @ East Tennessee State University. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of Digital Commons @ East Tennessee State University. For more information, please contact
[email protected]. Newsvendor Models with Monte Carlo Sampling A thesis presented to the faculty of the Department of Mathematics East Tennessee State University In partial fulfillment of the requirements for the degree Master of Science in Mathematical Sciences by Ijeoma Winifred Ekwegh August 2016 Jeff Knisley, Ph.D., Chair Ariel Cintron-Arias, Ph.D. Robert Price, Ph.D. Keywords: newsvendor models, Monte Carlo sampling, bootstrap resampling ABSTRACT Newsvendor Models with Monte Carlo Sampling by Ijeoma Winifred Ekwegh The newsvendor model is used in solving inventory problems in which demand is random.