Mathematical Statistics: A Unified Introduction (Springer Texts in Statistics) (Hardcover)

by George R. Terrell (Author) "Why Study Statistics?..." (more)
Key Phrases: Supplementary Exercises, Rural Urban Male, Great Wall of China (more...)

Editorial Reviews

Review
"The book is very easy and enjoyable to read ... it offers a refreshing point of view in an area which has been dominated by texts following almost exclusively by theoretical expositions."Short Book Reviews, Vol. 20/2, August 2000

Product Description
This textbook introduces the mathematical concepts and methods that underlie statistics. The course is unified, in the sense that no prior knowledge of probability theory is assumed; this is developed as needed. The book is committed to a high level of mathematical seriousness; and to an intimate connection with application. Modern methods, such as logistic regression, are introduced; as are unjustly neglected clasical topics, such as elementary asymptotics. The book first develops elementary linear models for measured data and multiplicative models for counted data. Simple probability models for random error follow. The most important famiies of random variables are then studied in detail, emphasizing their interrelationships and their large-sample behavior. Inference, including classical, Bayesian, finite population, and likelihood-based, is introduced as the necessary mathematical tools become available. In teaching style, the book aims to be * mathematically complete: every formula is derived, every theorem proved at the appropriate level * concrete: each new concept is introduced and exemplified by interesting statistical problems; and more abstract concepts appear only gradually * constructive: direct derivations and proofs are preferred * active: students are led to do mathematical statistics, not just to appreciate it, with the assistance of 500 interesting exercises. The text is aimed for the upper undergraduate level, or the beginning Masters program level. It assumes the usual two-year college mathematics sequence, including an introduction to multiple integrals, matrix algebra, and infinite series.

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Product Details

• Hardcover: 453 pages
• Publisher: Springer; 1 edition (June 4, 1999)
• Language: English
• ISBN-10: 0387986219
• ISBN-13: 978-0387986210
• Product Dimensions: 9.6 x 6.3 x 1.1 inches
• Shipping Weight: 1.7 pounds (View shipping rates and policies)
• Average Customer Review: 3.0 out of 5 stars See all reviews (2 customer reviews)
• Amazon.com Sales Rank: #1,226,716 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

2 of 2 people found the following review helpful:

1.0 out of 5 stars Kindle version loaded with misprints, May 5, 2008

By	booklover "booklover" (Arlington, MA USA) - See all my reviews

The Kindle version has so many misprints it is unreadable. They did an extremely poor job of digitization. Many of the mathematical formulae have pieces missing and in a mathematical textbook the missing pieces are fatal to comprehension. Sometimes the mathematical formulae are printed in such small type that even with a magnifying glass it is difficult to make out what they are expressing. While the Kindle allows one to enlarge text some of these formulae do not enlarge.

It looks like no one competent proof read the work after it was converted to Kindle format since I discovered these errors straight off and any one who understood mathematics would have immediately noticed the errors.

I'm surprised that such a shoddy job was let ride. Springer has an excellent reputation yet they apparently are investing no resources into the editing and proof-reading of electronic texts.

If you buy this text in Kindle form you will be unable to learn the subject matter from it and you will want your money back.

1 of 2 people found the following review helpful:

5.0 out of 5 stars Very Good book for self-study and further motivation, August 9, 2007

By	R. Kocer "p" (netherlands) - See all my reviews (REAL NAME)

This is one of the rare books in mathematical statistics which directly appeals to intuition and manages to provide some hunch (and create deep curiosity) for advanced topics. Moreover it remains always connected to emprical examples and encourages reader to engage with the data. Therefore it is very suitable for self-study.
Briefly, this book is definitely advisable to anyone who wants to know about the theory of statistics. Only small defect is that; there are some typos here and there which may sometimes be annoying.