- Hardcover: 660 pages
- Publisher: Cengage Learning; 2nd edition (June 18, 2001)
- Language: English
- ISBN-10: 0534243126
- ISBN-13: 978-0534243128
- Product Dimensions: 6.5 x 1.2 x 9.2 inches
- Shipping Weight: 2.1 pounds (View shipping rates and policies)
- Average Customer Review: 129 customer reviews
- Amazon Best Sellers Rank: #162,283 in Books (See Top 100 in Books)
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Statistical Inference 2nd Edition
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"Statistical Inference is a delightfully modern text on statistical theory and deserves serious consideration from every teacher of a graduate- or advanced undergraduate-level first course in statistical theory. . . Chapters 1-5 provide plenty of interesting examples illustrating either the basic concepts of probability or the basic techniques of finding distribution. . . The book has unique features [throughout Chapters 6-12] for example, I have never seen in any comparable text such extensive discussion of ancillary statistics [Ch. 6], including Basu's theorem, dealing with the independence of complete sufficient statistics and ancillary statistics. Basu's theorem is such a useful tool that it should be available to every graduate student of statistics. . . The derivation of the analysis of variance (ANOVA)F test in Chapter 11 via the union-intersection principle is very nice. . . Chapter 12 contains, in addition to the standard regression model, errors-in-variables models. This topic will be of considerable importance in the years ahead, and the authors should be thanked for giving the reader an introduction to it. . . Another nice feature is the Miscellanea Section at the end of nearly every chapter. This gives the serious student an opportunity to go beyond the basic material of the text and look at some of the more advanced work on the topics, thereby developing a much better feel for the subject."
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However it might be a little deep for non-statistics learners, especially the exercise problems part. But if you want a full grasp of the knowledge, you definitely want to get your hands dirty and do some problems on your own. A majority of the exercise solutions can be found online--just Google it.
For instructors in statistics, I think this book is a great intro--good enough for a full-year's instruction--for first year statistics students.
That drawback is this: the text is very terse, nearly opaque at times. There aren't many examples given for each concept, so the problems can be quite difficult. You'll be very much at the mercy of your teacher and class discussions/notes to actually understand most of the material. If I'd had to teach this subject to myself, using only this book, I wouldn't have got very far.
Fortunately, there's a legitimate, freely-available set of solutions for at least some of the problems, in .pdf format. Furthermore, most of the solutions are worked out in enough detail to be helpful to the beginner. There are a few errors (isn't this so with every solutions manual?), but overall it's an invaluable companion to the text.