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Introduction to Mathematical Statistics (6th Edition)

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Title: Introduction to Mathematical Statistics (6th Edition)
by Robert V. Hogg, Allen T. Craig, Joseph W. McKean
ISBN: 0-13-008507-3
Publisher: Prentice Hall
Pub. Date: 23 June, 2004
Format: Hardcover
Volumes: 1
List Price(USD): $104.00
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Average Customer Rating: 3.08 (13 reviews)

Customer Reviews

Rating: 3
Summary: Good coverage of basic statistical theory
Comment: This is kind of an odd statistics book. Most books at this intermediate level are devoted almost solely to the subject of "mathematical statistics", in other words: estimation, hypothesis testing, regression analysis, etc. Yet for some reason the first half of the book is devoted entirely to elementary probability theory, which should be a prerequisite for reading this book (see Hoel's probability book for a much better treatment of that subject).

As far as its coverage of statistics, the discussion of estimation is excellent, and the material on sufficient statistics is the best I've seen. I would agree with other reviewers, however, that the examples could be better. On some topics the explanations are not very well motivated, making it very dry at times. And there is basically no coverage of regression theory. An argument could be made that linear regression belongs in a more basic course, but there could've at least been some coverage of regression beyond the couple pages on nonlinear regression you get here.

This was the book used in the class I took, and I felt it was great in spots but could've been a lot better overall. It's not bad for what it does cover, but looking back I wish it could've covered more statistics material. It tries to be a probability+statistics two-in-one book, when really the two subjects deserve their own (more fully covered) book.

Rating: 3
Summary: Excellent in its day - but that day has passed
Comment: At the time of its debut (1958) this book was viewed as a fairly advanced treatment of probability and math stat. While it has been updated over the years, it has not kept pace with the rapid changes in the field. (Craig died in 1978!). For those with a bit integral of calculus (it is a math stat book), it is good for review and has some excellent problems (but any answers in the back of the book are simply numeric answers with no explanations). For the right class, it still could be a really good intro to math stat. Be warned - this book gives you nothing in the way of measure and probability but if you can buy it used and cheap, it is well worth having.

Rating: 1
Summary: Old school textbook.
Comment: One of those little monochrome bound textbooks from the 1960's that you wish had never been written (i.e. the book explains statistical methods using mathematical jargon and symbols).

Unless you are a math major, who communicates in these terms, steer clear.

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