Can anyone recommend some books that are considered to be standard references for classical (frequentist) statistics? IE, fairly comprehensive, and also, been around for a while so that typos and mistakes in formulas had a chance to be checked and corrected
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E. L. Lehman, Theory of Point Estimation, 1983, and its companion book, Testing Statistical Hypotheses. (NB: The latest edition of TPE, coauthored with George Casella, has not been getting good reviews on Amazon, but the original is still a classic.) |
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I have found Statistical Inference by Casella and Berger to be a relatively comprehensive introduction. |
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I'd recommend Theory of Statistics by Mark Schervish. |
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A comprehensive and authoratative reference is Kendall's Advanced Theory of Statistics
There is also a Volume 2B but it is Bayesian Inference. Other than those, I agree the Casella and Berger is an excellent reference at the graduate level, and suggest Bain and Engelhardt's Introduction to Probability and Mathematical Statistics for upper-level undergraduates. |
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