Since Amazon don't, at time of writing, have a table of contents for this book, I'll give a brief run down: Simple probability ideas - intersection/union of events, conditional probability and Bayes probability; random variables - general relationships, functions, etc.; families of distributions - normal, gamma, exponential, etc.; random sampling - theorems, implications, expectation/variance, etc.; normal random variables - implications of the particularisation of previous theories; point estimation theory - how to generate an estimator and how to judge performance; hypothesis testing - formulating and evaluating tests; interval estimation - generating confidence intervals for point estimates, relationship to hypothesis testing. There are one or two other chapters, but these are the only ones I've read thoroughly. There's no reason to believe the others aren't as impressive as these, though.


My Text Book/Handbook in Statistical Inference   October 31, 2003
 4 out of 7 found this review helpful

This is a crucially important text book. I use it frequently for my references in my field. It is my 'classical' text book.