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Rating:  Summary: please give us a table of contents Review: How can you expect us to buy the book without providing a table of contents?!
Rating:  Summary: At best a supplement text Review: Like mentioned before, it is a continuous listing of theorems with most proofs "left to the reader". While the concepts might appear "straightforward" to the author, I would say someone without prior knowledge of analysis and a higher undergrad math stat course will be lost from the beginning.It might be useful as a supplementary text to a book like Casella & Berger "Statistical Inference," but is definately the wrong choice as the primary source of a course. I also agree that classical statistics does not receive a fair treatment. The focus of this book is to show the superiority of Baysian statistics.
Rating:  Summary: Bought under duress Review: This is the most incomprehensible booK i have ever seen, read (un)used in my entire lifetime. Buy this book if you really lIke pain. Read Hogg & CRaig instead. The book is probably great if you have already spent a decade learning the stuff from elsewhere and you just want a bOok that compiles a lot of theorems and definitions in one place. The book is also a great piece of frequeNtist bashing, which according to me belongs elsewhere and not in an "intermediate" statistics book. BEWARE: the errata in the book is 30 pages long (A4 size pages)AND even the errata has errors..Gasp!
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