Buy Used
+ £2.80 UK delivery
Used: Very Good | Details
Condition: Used: Very Good
Comment: This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See more of our deals.
Have one to sell?
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See this image

Mathematical Statistics and Data Analysis Hardcover – 1 Jul 1994

3.0 out of 5 stars 2 customer reviews

See all formats and editions Hide other formats and editions
Amazon Price
New from Used from
Hardcover, 1 Jul 1994
"Please retry"
£54.67 £11.56
click to open popover

Special Offers and Product Promotions

Enter your mobile number below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
Getting the download link through email is temporarily not available. Please check back later.

  • Apple
  • Android
  • Windows Phone

To get the free app, enter your mobile phone number.

Product details

  • Hardcover: 672 pages
  • Publisher: Wadsworth Publishing Co Inc; 2nd edition edition (1 July 1994)
  • Language: English
  • ISBN-10: 0534209343
  • ISBN-13: 978-0534209346
  • Product Dimensions: 2.5 x 19.7 x 24.1 cm
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: 474,105 in Books (See Top 100 in Books)
  • See Complete Table of Contents

What Other Items Do Customers Buy After Viewing This Item?

Customer Reviews

3.0 out of 5 stars
5 star
4 star
3 star
2 star
1 star
See both customer reviews
Share your thoughts with other customers

Top Customer Reviews

A great book , useful for all engineers. The manner in which the material is covered, the data presented and the supporting presentation are really ver very professional. Indeed, a best buy and good value for money. Maheer Manmohan
Comment 6 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
I always considered, that books are for learning. But this book is to confuse you, especially if you have knowledge of mathematics. Very bad explanations, lots of mistakes..waste of time/money.
Comment 2 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse

Most Helpful Customer Reviews on (beta) HASH(0x99dea084) out of 5 stars 38 reviews
64 of 66 people found the following review helpful
HASH(0x99336858) out of 5 stars Is there an ideal text that non-statisticians will love? 2 April 2001
By Robert E. Froese - Published on
Teaching statistics is a tough business because it is quantitative, rigourous, and often abstract. Most importantly teaching statistics is tough because the majority of students most professors face take statistics because the need to, not because they want to. To make matters worse, they face instructors who not only grasp the theory, but enjoy it, and who are all the while empowered to deliver no more than little snippets of higher level stuff their students can apply.
Rice tries to bridge the gap between theory and application, delivering enough theory that the student understands the logical foundation of the applied aspects they may have already discovered in previous courses. In my mind, this is the central theme of Rice's text - avoiding unnecessary and often pedantic details better left to graduate majors in statistics while filling in the background material that often left students of statistics uncertain about the amount of confidence to place in their analyses. Rice's text is not for those who fear rigour and logic. His introductions to new concepts are compact, impersonal, and often followed by terse propositions, definitions and laws that build logically as the text progresses. He includes numerous examples that are similarly terse; however, he never failed my litmus test for logical works, which is a demonstrable linkage between each example and some proposition, law or definition previously introduced.
The text commences with the most basic review of probability, progressing quickly to random variables, distributions, expected values and important derived distributions like the t, F and Chi-square. Students will discover how the tests they applied in the past are related to theory. This theme culminates in the section on Survey Sampling, in which sampling estimators and their assumptions are derived.
Rice has weaknesses that deserve mention. Some of the problems are tough, and Rice's impersonal approach emphasizes concepts over technique. I spent many hours reading and re-reading sections in the text before a useful approach to a problem came to me. Sections on least squares and ANOVA are the least useful; they are too compact to achieve the goal of bridging theory and application. This material is much better covered elsewhere. The decision theory and Baesian inference section suffers similarly, but given how little exposure most stats students get to this material is nevertheless useful.
If you're interested in learning the rigourous application of statistics but not theory, then Rice isn't for you. No matter what, you mustn't be afraid of challenges; Rice is impersonal and compact and won't make any excuses for you. If you want to understand the assumptions and limitations of the applied statistics you've already been practicing, however, I recommend Rice enthusiastically. He won't explain the assumptions, but he will arm you with the knowledge to do it yourself.
43 of 46 people found the following review helpful
HASH(0x99336c60) out of 5 stars excellent text 7 Feb. 2008
By Michael R. Chernick - Published on
This book got very mixed reviews from 1 star to 5. I am in agreement with Froese's review and give it 4 stars. Rice is trying to write a book for statistics students who are not mathematics or statistics majors without shortchanging them on the advanced topics and the theory. This can be difficult and often alienates both the beginners and those interested in advanced methods. I have tried to stay along that fine line with my texts also. So I appreciate the difficulties. As an author of a book on bootstrap methods, I also appreciate the way Rice has integrated that subject into this text.
57 of 73 people found the following review helpful
HASH(0x98c680b4) out of 5 stars Don't believe the bad reviews of this book 4 Mar. 2003
By Y - Published on
This book is so far the best mathematical statistics and data analysis textbook I've ever read for an undergraduate intermediate level statistics course. The topics are well chosen and the book is well written. The previous bad reviews of the book at are from people with absolutely no knowledge of statistics and trying to find some short-cut to "prepare for a exam" or whatever. So if you are a serious reader and with intermediate level statistics understanding, go for the book. It is not only good to be used a textbook, but also excellent for reference purpose.
10 of 11 people found the following review helpful
HASH(0x99336cd8) out of 5 stars Great Reference 27 Oct. 2003
By Veeken - Published on
This book is not for the beginner. It is not for someone who doesn't already have a modicum of elementary probability as part of his 'blood and bones.' It is not for those without a functional knowledge of multivariate integration and the transformations involved therein: just as for any "mathematical statistics" textbook, mathematical competence is critical in deriving utility -- in fact, outside some set theoretic properties, a topic such as this is all about applying methods from linear algebra/multivariable calc. This is not a probability textbook in the vein of Stephen Ross (whose "first course in probability" would be best to consult for certain topics -- this text too requires calculus.) In short, look elsewhere first if you're incompetent.

But then return. Return to this wonderfully complete and rigourous txt that offers challenging end of chapter exercises and insures that if you look something up, you will find it. The contents is vast, and each time you open it, you're likely to walk away with something new or something appreciated fully for the first time.

Misses the 5th star because of its list of errata, and because newer editions haven't been forthcoming. It could use one more revision.
7 of 8 people found the following review helpful
HASH(0xa1b34084) out of 5 stars standard textbook on mathematical statistics at upper-division level 28 Jan. 2009
By Kalel34 - Published on
Verified Purchase
This is probably the best textbook on mathematical statistics for students with a good lower-division background in mathematics (calculus, multivariable calculus, linear algebra). Once the course is over, it makes for an excellent reference. I refer to it often for maximum likelihood, non-parametric tests, least squares theory, etc.

Although the title contains the word "mathematical," the book has an eminently practical orientation. There is even an entire chapter devoted to descriptive statistics and graphical tools. A course making good use of this book will give the student a solid introduction to the art of data analysis.

This book may be too advanced for students without sufficient mathematical preparation. Such students might warm up first with Friedman et al. or Moore and McCabe.

The chief difference between the second and third editions seems to be that the latter gives somewhat more space to the Bayesian approach.
Were these reviews helpful? Let us know