Principles of Statistics

by M.G. Bulmer

Brand New. Will be shipped from US.

Genres: Mathematics, Business, Nonfiction, Science, Textbooks, Finance, Reference

Hardcover

First published April 26, 2012

Reviews

[Nathan Gould · Rating 4 out of 5]

I've now read Bulmer's book twice, because I really appreciate the order and presentation of information. The chapters build on each other in a satisfying and straightforward way, with basically no wasted words or extraneous information.

That said, the book is a quite dated, which is most apparent on several occasions when Bulmer refers to the tediousness of calculating certain statistical formulas by hand. His notation is also not that common anymore. These issues might be seen as a negatives if you're hoping to learn modern statistics from scratch. If you already have a foundation in modern statistics, you might enjoy these historical quirks, since it provides a window into how computation headaches shape the field of statistics.

In summary, this book is adequate as an introduction to statistics, but really great if you'd like to reinforce your statistics knowledge while learning a bit about how the field evolved.

[Andrew · Rating 5 out of 5]

For those who understand the principles of calculus (integral & differential), I could not think of a better book to learn basic statistical theory.

[Kevin · Rating 4 out of 5]

A good book to read if you want to consolidate what you have learned in statistics. The theories are laid out in bite-sized pieces which are easy to read and follow. The exercises are nice but the problem sets are probably intended for more advanced readers. Overall, recommended for undergrad students studying Statistics.

[Amit · Rating 5 out of 5]

No fluff introduction to statistics.

[Iman · Rating 4 out of 5]

This is a good foundational statistics book. It does get quite complicated, especially in the later chapters. The topics that I was interested in reading over were very well presented and insightful clarifications are peppered throughout. If anything, I would give the entire 4 stars to his explanation of the laws of probability.

[Shymaa Ali · Rating 4 out of 5]

Good for people who do not know much about statistics, the book is straightforward and time saving.

[Bharadwaj Machiraju · Rating 4 out of 5]

A very good textbook to understand principles of statistics

[Marc · Rating 4 out of 5]

Overall I enjoyed this as an introduction to statistics. I had never formally covered statistics at all but been through a fair amount of calculus in college. I particularly like that it's very "dense", it gives solid and short explanations without any superfluous content. This made reading it a bit slower, but that's okay I think it will help it serve as a reference for basic statistic information in the future when I need a refresher.
I took one star off because there were a couple cases where a term was used that hadn't been specifically defined yet and sort of muddled my understanding until I found the specific definition, normally they were words that I kind of understood but could have used a more solid basis of how he was using them. Also there is one specific case where he changes symbol conventions for a short time but didn't note it until the end of the chapter.
As a whole this book was a very solid and compact introduction to statistics for me, and its compact nature will help it serve as a reference into the future on my shelf. A knowledge of the basics of calculus would definitely be a plus if you plan on reading this as Bulmer does use the notation from calculus and a few of the techniques in the explanations.

[Xinyu · Rating 4 out of 5]

An really good book in introduction on statistics. It explains really well on those statistical concepts, which otherwise can be quite confusing. Though it's a introductory book, I can't say that I understand it all. I feel I need more time and more experience in fully understanding the concepts and rationales.

[Eric Pecile · Rating 4 out of 5]

An excellent guide for the statistician on the significance of variables and the meaning of various distributions. Written very clearly, this is a great reference for anyone handling quantitative data. It falters slightly as it is very much a guide for those with an existing degree of statistical training rather than an introductory guide as one may accidentally infer from the title.

[Sefa]

Good refresher/reference book for readers who are already familiar with concepts of statistics. Covers a ton of concepts well, with historical anecdotes, in a relatively small volume. Probably not the best book for an introduction to statistics.

[Ryan · Rating 3 out of 5]

Decent intro to stats. Math gets rather complex near the end. Will probably re-read once I have more experience and familiarity with statistics

[Neil Rempel · Rating 3 out of 5]

A text book,

[Bellamy · Rating 5 out of 5]

great!

[Molo · Rating 4 out of 5]

its ok