Material Detail

18.655 Mathematical Statistics | Mathematics

This graduate level mathematics course covers decision theory, estimation, confidence intervals, and hypothesis testing. The course also introduces students to large sample theory. Other topics covered include asymptotic efficiency of estimates, exponential families, and sequential analysis.

Keywords:: Exponential families, Wilks?s theorem, decision theory, Stein?s phenomenon, sequential analysis, testing simple hypothesis, Probability and Statistics, convexity, James-Stein estimators, Solari?s example, estimation, Lehmann-Scheff'e property, confidence intervals, asymptotic efficiency, sufficiency, M-estimation, large sample theory, Neyman-Pearson Lemma, Bayes decision theory, probability theory, stochastic processes

Disciplines:

Mathematics and Statistics / Mathematics

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More about this material

Material Type:: Online Course
Date Added to MERLOT:: May 12, 2016
Date Modified in MERLOT:: August 15, 2016
Author:: Unknown (Know the author?)
Submitter:: Barbra Bied Sperling
Primary Audience:: Graduate School
Technical Format:: Website

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Accessibility Information Available:: Unknown
Creative Commons:: This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States