| dc.contributor.author | Dudley, Richard | en_US |
| dc.coverage.temporal | Spring 2003 | en_US |
| dc.date.issued | 2003-06 | |
| dc.identifier | 18.466-Spring2003 | |
| dc.identifier | local: 18.466 | |
| dc.identifier | local: IMSCP-MD5-58e2f56cc79ddaaaefcbbf8ef8477250 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/103814 | |
| dc.description.abstract | 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. | en_US |
| dc.language | en-US | en_US |
| dc.rights.uri | Usage Restrictions: This site (c) Massachusetts Institute of Technology 2016. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. | en_US |
| dc.rights.uri | Usage Restrictions: Attribution-NonCommercial-ShareAlike 3.0 Unported | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ | en_US |
| dc.subject | decision theory | en_US |
| dc.subject | testing simple hypothesis | en_US |
| dc.subject | Neyman-Pearson Lemma | en_US |
| dc.subject | Bayes decision theory | en_US |
| dc.subject | sufficiency | en_US |
| dc.subject | estimation | en_US |
| dc.subject | convexity | en_US |
| dc.subject | Lehmann-Scheff'e property | en_US |
| dc.subject | Exponential families | en_US |
| dc.subject | Stein?s phenomenon | en_US |
| dc.subject | James-Stein estimators | en_US |
| dc.subject | M-estimation | en_US |
| dc.subject | Solari?s example | en_US |
| dc.subject | Wilks?s theorem | en_US |
| dc.subject | stochastic processes | en_US |
| dc.subject | probability theory | en_US |
| dc.subject | confidence intervals | en_US |
| dc.subject | large sample theory | en_US |
| dc.subject | sequential analysis | en_US |
| dc.subject | asymptotic efficiency | en_US |
| dc.title | 18.466 Mathematical Statistics, Spring 2003 | en_US |
| dc.title.alternative | Mathematical Statistics | en_US |
