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Statistical Inference
by George Casella, Roger L. Berger
from Duxbury Press
Customer Reviews:
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Avg. Customer Rating: 4.0 / 5.0 
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Good Introduction to Probability Theory, Mathematical Statistics and Estimation 
I'm using this textbook for a first year PhD Introduction to Econometrics class and I'm enjoying the clear presentation, rigorous treatment and elegant typesetting. (The text includes Mathematica code on which I can't comment at this time, but the inclusion of code in such a text is encouraging in itself.)
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GOOOOOOOD
the book was delivered in a few days and the condition of the book was good.
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Good introduction, many errors 
This text is quite good, with numerous examples, but beware of the many errors or cases of sloppy reasoning. A sampler:
p. 319. The maximum likelihood estimator for the binomial distribution, unknown number of trials, is unique. Not true: n=2, p = .4, sample = (1,6) is a counterexample.
p. 265. If S is the sum of k idd uniform (0,1) random variables, then Prob(S <= t) is t^k over k!. Not true: this would give prob(S <=k) > 1.
p. 62, 82, 84: Moments are unique (or non-unique). Nonsense, it is... more info
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Great textbook.
This is a fantastic book. It is very well written and is a pleasure to read. The problems at the end of each chapter are extensive and help get a very good understanding of the material. This was the required text for a quarter based graduate level course on Statistical Inference. We had an excellent teacher who picked problems very well and that perhaps kept us from getting bogged down. Many of the problems are by no means trivial and require time to solve, which is where a great instructor helps. If you... more info
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