Statistics@MIT
18.466 -- Mathematical Statistics
Course Description: Decision theory, estimation, confidence intervals, hypothesis testing. Introduces large sample theory. Asymptotic efficiency of estimates. Exponential families. Sequential analysis.

This class is at the Graduate level
Instructor: R. M. Dudley
Prerequisites: Permission of instructor

Insider's Wisdom

18.466 Mathematical Statistics has a an OCW site (see above) were you can find a detailed lecture notes (a book manuscript) on it.

This is graduate level in perhaps a stronger sense, in that more mathematical sophistication may be needed, preferably some measure and integration theory.


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