6.041/6.431 24. Classical Statistical Inference - II

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In this lecture notes we are going to continue with Classical Statistical Inference - II. This lesson reviews 1. Maximum likelihood estimation and 2. Confidence intervals . This lecture notes explores Linear regression , Binary hypothesis testing, Types of error and Likelihood ratio test (LRT).

Instructors: Prof.Dimitri Bertsekas, Prof. John Tsitsiklis, MIT Course Number: 6.041 / 6.431 Level: Undergraduate / Graduate , 6.041 / 6.431 24. Classical statistical inference - II, Probabilistic Systems Analysis and Applied Probability, Electrical Engineering and Computer Science, Engineering, Massachusetts Institute of Technology: MIT Open Course Ware, http://ocw.mit.edu (11-11-2011). License: Creative Commons BY-NC-SA: http://ocw.mit.edu/terms/#cc.


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