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Mathematical Statistics and Data Analysis (with CD Data Sets) Hardcover – 28 April 2006
Purchase options and add-ons
- ISBN-109788131519547
- ISBN-13978-8131519547
- Edition3rd
- PublisherBrooks/Cole ISE
- Publication date28 April 2006
- LanguageEnglish
- Dimensions19.2 x 3.35 x 23.77 cm
- Print length688 pages
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Product details
- ASIN : 0534399428
- Publisher : Brooks/Cole ISE; 3rd edition (28 April 2006)
- Language : English
- Hardcover : 688 pages
- ISBN-10 : 9788131519547
- ISBN-13 : 978-8131519547
- Dimensions : 19.2 x 3.35 x 23.77 cm
- Best Sellers Rank: 484,435 in Books (See Top 100 in Books)
- 352 in Statistics Textbooks
- 621 in Statistics (Books)
- 1,076 in Probability & Statistics (Books)
- Customer Reviews:
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I am outright shocked at the low reviews given to this book. I tend to be highly critical of statistics textbooks, especially ones at this level. In my opinion, this book does an outstanding job. It balances making the material accessible with going into considerable depth, and it integrates mathematical theory with an emphasis on data analysis. The title of this book says it all: "Mathematical Statistics and Data Analysis". There are few other books that emphasize both theory and practice. This book certainly lives up to its title in this respect.
Perhaps some of the bad reviews are from frustrated students who are in classes that are moving too quickly for their level. Just because this is an excellent book doesn't mean that every professor will use it in an appropriate way. The exercises in this book can be tough and I think it would be possible to easily overwhelm students by assigning too many problems or problems that are too difficult. This book is only really useful if you are able to explore it at a slower pace, reading it and reflecting on it.
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This book is not concise but it is not overly wordy. Rice is an excellent writer. The expanded discussion communicates aspects of the subject that are often overlooked, and helps build the students' intuition. This book is always readable and it is clearly written to be read and understood. In addition to communicating basic concepts, the book also explores numerous practical and philosophical considerations. For a book at such an introductory level, this text is remarkably deep.
One of the most attractive aspects of this book is that it is relatively easy to skip around in it. More advanced students or students with some exposure to probability will necessarily want to skip many of the early chapters. Unlike some of the more advanced texts (such as the Casella and Berger) where the chapters depend on and reference each other in a rather rigid fashion, this book is more flexible and thus can appeal to students with diverse backgrounds.
My last bit of praise is the integration of data analysis with mathematical theory. Distributions are introduced with a rich discussion of where, how, and why they arise in practice. Data analysis techniques, tests, and abstract definitions alike are introduced in such a way that they are rooted both to the abstract theory and to consideration of applications: this book is one of the rare texts that fully bridges the gap between the real world and the abstract models used to describe it.
I would recommend this book for a wide variety of different uses. This would make an outstanding textbook and it could easily be used for more than one course, or for courses at more than one level. It is a useful book to have on the shelf as a basic reference, and it is also very useful for self-study. My only complaint is that more books in the field of statistics are not written in the spirit and style of this one. In particular, I would like to see authors of more advanced books examine this book's strengths and use them to enhance their own writing. Or perhaps John Rice ought to try his hand at writing a higher-level text; I know I would be eager to see what he could produce!

There is only one reason this book is being used: John Rice is Professor Emeritus at Berkeley. While I have no doubt he is a competent statistician, what I know with a high degree of certainty is that he cannot write an introductory book. A fallacy that is all too often made in academia: the best can't necessarily teach. I suspect his influence is entrenched and not many are willing to criticize him, and he's likely at a level where he is sufficiently out of touch with those just getting acquainted with the subject.
If you are a student forced to use this book, I strongly recommend you instead pick up Wackerly's Mathematical Statistics (doesn't have to be the most recent edition). That book is at a similar level of rigour, but will explain the concepts and build your intuition, instead giving you a sloppy mishmash of results crammed into big chapters. The exercises are perhaps slightly easier, but at least you'll gain a stronger grasp of the fundamentals. Also watch jbstatistics on YouTube, he does a great job of tying the results together in short, concise, but highly informative segments.
In the preface Rice recommends this book to sophomore social science students. This is ill advised. While I have a strong mathematical background and completed the course with an A-, it was unduly laborious and an extremely inefficient use of time. I owe most of my success to the two external resources provided above about half way through my course and the problem sets provided by my instructor. Statistics is an important field that is intricately beautiful and complex, but it was developed relatively late, which is a testament to how difficult and counter-intuitive it is. As such, more than with many other fields, a clear and good presentation absolutely critical to your understanding of it. Rice, at the introductory level, risks alienating you from it.
In conclusion, one of the worst books I have used in undergrad. Between this one and The Physics of Vibrations and Waves by HJ Pain (aptly named).