Introduction to the Theory of Statistics (McGraw-Hill series in probability and statistics) [Hardcover]

Alexander McFarlane Mood (Author), Franklin A. Graybill (Author), Duane C. Boes (Author)

Book Description

Publication Date: April 1, 1974 | ISBN-10: 0070428646 | ISBN-13: 978-0070428645 | Edition: 3

A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year's course in calculus with no prior knowledge of statistics or probability. Third revised edition.

--This text refers to the Paperback edition.

Product Details

• Hardcover: 480 pages
• Publisher: Mcgraw-Hill College; 3 edition (April 1, 1974)
• Language: English
• ISBN-10: 0070428646
• ISBN-13: 978-0070428645
• Product Dimensions: 9.1 x 6.2 x 1.6 inches
• Shipping Weight: 2 pounds
• Average Customer Review: 4.9 out of 5 stars  See all reviews (8 customer reviews)
• Amazon Best Sellers Rank: #1,152,157 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

12 of 12 people found the following review helpful:

5.0 out of 5 stars A beautiful text, August 21, 2003

By A Customer

This review is from: Introduction to the Theory of Statistics (McGraw-Hill series in probability and statistics) (Hardcover)

A beautiful text of mainstream statistics, starting from scratch and taking you clearly to a good standard. If it provided answers to exercises, it would be perfect for self-study. Nevertheless, still amazingly clear without sacrificing the rigour and precision of the maths.
This must be the first book for anyone who wants to take on probability and statistics seriously.

...

4 of 4 people found the following review helpful:

5.0 out of 5 stars Insightful, April 24, 2009

By 

Zac (USA) - See all my reviews

This review is from: Introduction to the Theory of Statistics (McGraw-Hill series in probability and statistics) (Hardcover)

If I would be required to describe this book (I refer to the 1974 edition) I would describe it as 'insightful'. Instead of just providing a comprehensive overwies of mathematical statistics (which accomplished the book by the way) it provides interpretations and explanations why definitions are introduces, theorems are stated, certain concepts are needed. As such it is definetely no cook book but allows you to gain deep insights into the (certainly non-trivial) matter.

The type setting is fine considered the fact it is quite old. I wish there would be a new edition just to make sure that this book we be available for all how want to learn from it.

There are many book available on this topic (mathematical statistics) however this one is especially well suited as a first book. Many other book are way more demanding and or explain the concepts to a lesser degreen than a beginner may need.

In my opinion this is really a great book that makes joy reading. Great job!

1 of 1 people found the following review helpful:

4.0 out of 5 stars An excellent introduction, July 8, 2011

By 

N. Mozahem (Al Ain, United Arab of Emirates) - See all my reviews
(REAL NAME)   

Amazon Verified Purchase

This review is from: Introduction to the Theory of Statistics 3rd Edition (Paperback)

This is an excellent book that does a great job of introducing the reader to the theory of statistics. The great thing about this textbook is that it takes you from square one to a pretty high level. There are a lot of examples which are included and the solutions are clear. It should be noted though that this is a book about mathematical statistics, and therefore it is not a cook book. The authors motivate the material, but there is a lot of math. However, the prerequisites are very basic (one year of calculus). By reading this book you will end up understanding the material instead of just memorizing the equation of a binomial distribution for example. I took off one star for two reasons. First, there are no answers to selected problems. I think that this is not acceptable for a textbook. I am not asking for the solutions, only the final answers to make sure that the work that I have done is correct. Second, the book barely mentions the topic of combinatorial analyses even though it (the book) does not suppose prior knowledge of probability. I think that this (minor) gap should be filled by including a small chapter on the topic at the start of the book, or at least as an appendix. Other than that, I highly recommend this book to everyone, even those studying social sciences. Most research methods will require you to understand the material in this book.