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Principles of Statistics

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Author: M.g. Bulmer
Publisher: Dover Publications
Category: Book

List Price: ~~$14.95~~
Buy Used: $5.00
You Save: $9.95 (67%)

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Media: Paperback
Number Of Items: 1
Pages: 252
Shipping Weight (lbs): 0.7
Dimensions (in): 8 x 5.6 x 0.6

ISBN: 0486637603
Dewey Decimal Number: 519.5
EAN: 9780486637600
ASIN: 0486637603

Publication Date: March 1, 1979
Availability: Usually ships in 1-2 business days

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Editorial Reviews:

Product Description
The best intermediate-level explanation of classical statistics on the market! From basic dice probabilities to modern regression analysis and correlation, Professor Bulmer provides explanations, graphs, charts, problems (with answers). Equal stress is given to theory and applications. The author assumes no previous knowledge of statistics or probability; only basic calculus is needed. Ideal college-level or supplementary text.br

Customer Reviews: Read 8 more reviews...

4 out of 5 stars

handy reference book December 12, 2008
1 out of 1 found this review helpful

This is a handy reference book on statistics that is certainly within everyone's price range. I have a copy that I look at from time to time. But I can't say that it is up to the standards of most of the inroductory statistics books that I own. But it is convenient and easy to use.

5 out of 5 stars

Excellent Intro to Mathematical Statistics. May 16, 2008
This must be one of the most lucid and inexpensive intro to mathematical statistics. Clear, to-the-point, concise, with the right amount of theory and practice examples. br /Bulmer has the ability to make statistics come alive. You will feel like you are getting the information right from the source. Famous names like Fisher, Bayes, and A. Student just come up naturally, as if they were narrating their own stories. br /I used this book as an introduction to Steven Kay's two-volume Fundamentals of Statistical Processing I II. Even though it was published in 1967, this book is so mainstream it is as useful today as the day it was published. It is truly a classic. br /ANOVA and Correlation are not covered thoroughly. But still, what is covered is covered well. You will need some working knowledge of integral calculus. Don't let that scare you. Bulmer uses excellent judgment when it comes to how and where to apply calculus. When it's used, it really makes the whole concept clearer. br /This is neither a book for social scientists who want to know how to interpret ANOVA outputs from some statistical software, nor is it a book for the theoretical mathematician. This book rather gives a very solid background for the applied scientist, no matter if s/he works with medical or seismic data.br /Oh, and you will (finally!) learn why the sample variance formula involves n-1 at its denominator by examining empirical data gathered and analyzed by Student from his original papers (1908)! br /

4 out of 5 stars

Old but useful October 31, 2006
2 out of 3 found this review helpful

If you are looking for a book on stats to have an overall view this is not the right one. It is good though if you like to understand a few principles behind what other books tell in a nutshell.

3 out of 5 stars

To Much Assumed, Not Enough Taught. August 6, 2006
7 out of 14 found this review helpful

I spent 6 months trying to teach myself statistics from this book and I studied it completely until chapter 8. The book is too terse and does not explain the steps necessary to complete a problem. Too much teaching is done in the problems at the end of the chapter where there is no teaching - it is a matter of discovering it for yourself in order to complete the problem. I spent too much time trying to discover the reasoning behind the author's text as a result of him assuming too much and not detailing his work.br /br /Modern textbooks are far superior to this book in that the teach rather than quiz the reader; they show and explain what is being taught rather than leaving it to the student to find from his experience, reasoning, or other books what is sought. Compared to a very good textbook on Calculus I would consider this somewhat better than an extensive notebook which needs a teacher to go along with it in order to be important as a tool for learning statistics (or one who already has learned statistics, in which case this book is not a tool for learning them). br /br /I give it three stars for what I did learn from it. I believe it has more depth than some books of statistics. As for a first book of statistics I think I would have been able to learn more in less time with another book, simplier and with worked examples than I did with this book. If this book would have had worked examples for its problem sets, as most modern texts do, I would have learned faster and thus more.br /br /I have the impression from this book textbooks from the 1960's were not as good as they are today. I have the impression this book was written to supplement a teacher's course whereas the textbooks I used in the 1980's were the course that the teacher supplemented. This book also is very inexpensive compared to modern textbooks and a supplemental book should be valuable.

5 out of 5 stars

A self-study book February 23, 2006
6 out of 6 found this review helpful

This book contains significant amount of mathematics to explain the theory of statistics and is written in such a way that one can study it on his own. Exercises are provided at the end of every chapter, with answers in appendix, which promotes the self-study aspect of the book. It is not a practical statistical calculation and inference book, for that purpose ``Practical Statistics" by R. Langley does a better job. However, to help advance into the field of random variables and further into stochastic process modeling, I believe this book will be very useful.

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