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Probability and Statistical Inference (6th Edition)

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Title: Probability and Statistical Inference (6th Edition)
by Robert V. Hogg, Elliot A. Tanis
ISBN: 0-13-027294-9
Publisher: Prentice Hall
Pub. Date: 15 December, 2000
Format: Hardcover
Volumes: 1
List Price(USD): $110.00
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Average Customer Rating: 2 (14 reviews)

Customer Reviews

Rating: 3
Summary: average textbook, but sketchy in places
Comment: For the most part this textbook provided a good foundation for the study of probability and statistics. Some of the examples lacked a necessary level of detail and left me wondering how they got from point A to point B (especially in the second half of the text). Of course, unless you're just buying this book for self knowledge you probably don't have a choice on whether or not to buy it.

Rating: 2
Summary: not fit for teaching
Comment: While studying statistics with this book I thougth I lack a gene or something because I couldn't make much sense of the subject. Today I know that the book is conceptually wrong.

The book is basically stuck in the 1930's, ignoring major breakthroughs by Shannon, Kolmogorov and others. Fundamental concepts like entropy, individual randomness and typicallity are completely missing.

Furthermore, the book is heavily biased towards hypothesis testing, with little mentioning of Bayesian statistics.

From a pedagogic point of view it must be said that statistical concepts emerged historically and are better understood when placed in the context of the original problems. This book does not do that at all.

Rating: 2
Summary: a (yawn) mechanical approach to mathematics
Comment: I studied the first 8 chapters of this book instead of attending the undergraduate lecture. This was a mistake. Tanis & Hoggs present probability and statistics, an otherwise interesting topic, in the most mechanical way imaginable. There is no reference (that I can recall) to any underlying mathematical ideas or questions, nor to the problems which originially prompted Poisson, Bernoulli, Gauss, etc. to inquire about the nature of "randomness" in physical events. The authors seem to suppose that their examples demonstrate such things by proxy. This book may make a decent reference for advanced students, but should not be used to teach those seeing prob & stat for the first time... that is, unless, you want it to also be their last.

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