6. Maximum Likelihood Estimation (cont.) and the Method of Moments
MIT 18.650 Statistics for Applications, Fall 2016
View the complete course: http://ocw.mit.edu/18-650F16
Instructor: Philippe Rigollet
In this lecture, Prof. Rigollet continued on maximum likelihood estimators and talked about Weierstrass Approximation Theorem (WAT), and statistical application of the WAT, etc.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
Видео 6. Maximum Likelihood Estimation (cont.) and the Method of Moments канала MIT OpenCourseWare
View the complete course: http://ocw.mit.edu/18-650F16
Instructor: Philippe Rigollet
In this lecture, Prof. Rigollet continued on maximum likelihood estimators and talked about Weierstrass Approximation Theorem (WAT), and statistical application of the WAT, etc.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
Видео 6. Maximum Likelihood Estimation (cont.) and the Method of Moments канала MIT OpenCourseWare
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