Statistical Inference

Casella, George

ISBN 10: 0534119581 / ISBN 13: 9780534119584

Published by Cengage India (edition ), 1990

About this Item

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. International edition.

Seller Inventory # 8131503941-8-1-7

Bibliographic Details

• Title: Statistical Inference
• Publisher: Cengage India (edition )
• Publication Date: 1990
• Language: English
• ISBN 10: 0534119581
• ISBN 13: 9780534119584
• Binding: Paperback
• Edition: International Edition
• Condition: Very Good

About this title

Synopsis

This text provides information on topics such as ancillarity, invariance, Bayesian methods, pivots, Stein estimation, errors in variables and inequalities. The authors discuss both theoretical statistics and the practical applications of the theoretical developments. Many ideas are introduced in the context of data analysis rather than pure mathematics.

Review

I got it in 5 days. Good packaging. I recommend to buy this book by flipkart. Its cost is too low at flipkart(393INR) as comparison to others(18US Doller). --Arun Dev Kaushik Oct 7, 2013

This is the book I wish I have read when I was really studying. Now, studying is my hobby, not a profession. However, as a performance testing lead, I still need to understand what the word statistics means. Anyone who is actually willing to know what the word statistics means -> this is the book for you. No questions asked. Buy this book. Worth every penny. --Nabarun Mondal Aug 12, 2012

IMHO the best introduction to Probability Theory and Inferential Statistics. Because it doesn't say "Mathematical Statistics" in the title I ignored it for years and iterated between several other good texts. But Casella & Berger is more accurate, more up-to-date, and/or more fun to read. It strikes a better balance among topics and among schools of thought. It is furthermore exceptionally lucid and original, and very carefully edited. The organisation of the text is perfectly coherent, but this doesn't make it easy to skip difficult parts or concepts. The use of the book is also somewhat constrained by the author's effort at using nonstandard and challenging examples and problems (euphemistically called exercises). In practice I have to provide standard exercises to (econometrics) students as additional material. I am slightly uneasy with the unequal treatment of some items, many being emphasized as numbered propositions whereas others are just mentioned in the text. I similarly regret the cursory treatment of asymptotic distributions and asymptotic efficiency (for the purposes of econometrics). I do not like the exposition of Analysis Of Variance, but on the other hand I marvel at the stimulating treatment of linear regression in the last chapter. Quibbles apart, Casella & Berger is a demanding but most rewarding and stimulating introduction to (so-called) mathematical statistics, and in particular it is exceptionally dependable and witty. Beginning students may require some complementary material in the form of standard exercises and worked-out examples. --By Denis de Crombrugghe on January 16, 2001