6.041 / 6.431 23. Classical Statistical Inference - I

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Description
This lecture notes introduces Classical Statistical Inference . Various topics covered under this section are:
1. Classical statistics
2. Maximum likelihood (ML) estimation
3. Estimating a sample mean
4. Confidence intervals (CIs) and
5. CIs using an estimated variance

Instructors: Prof.Dimitri Bertsekas, Prof. John Tsitsiklis, MIT Course Number: 6.041 / 6.431 Level: Undergraduate / Graduate , 6.041 / 6.431 23. Classical statistical inference - I, 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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