Course Course Summary Section 1 Content Section 1 Content Left Section 1 Content Right Credit Type: Course ACE ID: SOEL-0181 Organization's ID: 82512 Organization: AMC Logistics Leadership Center Location: Classroom-based Length: 8 weeks (60 hours) Dates Offered: 6/1/2012 - 5/30/2015 Credit Recommendation & Competencies Section 2 Content Section 2 Content Left Section 2 Content Right Level Credits (SH) Subject Graduate 3 Mathematical Statistics Ii Student must achieve a minimum of 80 percent for graduate credit. Description Section 3 Content Section 3 Content Left Section 3 Content Right Objective: The course objective is to develop a structural knowledge of estimation theory and hypothesis testing to include point estimation, interval estimation, sufficient statistics, most powerful tests, likelihood ratio tests, decision theory/ risk functions, chi-square and other tests and apply the results of the synthesis across a variety of disciplines that include engineering, statistics, reliability, and statistical quality control. Learning Outcomes: Evaluate the efficiencies of various estimators Derive univariate and multivariate maximum likelihood estimators (MLE's) for distributional parameters and construct and evaluate tests of hypothesis across a spectrum of statistical models Invoke the Fisher Information measure to evaluate the Rao-Cramer lower bound on the variance of an unbiased estimator General Topics: Data reduction principles, finding and evaluating estimators, and hypothesis testing and asymptotics, interval estimators and asymptotics Instruction & Assessment Section 4 Content Section 4 Content Left Section 4 Content Right Instructional Strategies: Audio Visual Materials Classroom Exercise Discussion Learner Presentations Lectures Practical Exercises Supplemental Materials Section 5 Content Section 5 Content Left Section 5 Content Right Section 6 Content Section 6 Content Left Section 6 Content Right Button Content Rail Content 1 Page Content