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Principles of Statistics (Dover Books on Mathematics) (Englisch) Taschenbuch – 12. November 1979

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Format: Taschenbuch
I have six books on statistics in my personal library. All of them are bigger than Bulmer's book, but none have been read as many times, and none are as tattered, marked up, and cross-referenced. Simply put, Bulmer's book is the most useful and complete book on basic statistics that I have. It's a nice package in a reasonably sized book with all the most important stuff for dealing with basic statistical problems that many engineers are likely to encounter in a day's work.
Chapter 1 is a short blurb on the concept of probability. This is very useful because it places the rest of the text on a very specific and concise footing. Essentially there are two concepts of probability. One is the relative frequency with which an event occurs in the long run. An example of this is the tossing of a coin many times and counting the number of times it comes up heads. The author describes this as statistical probability.
The second concept of probability is what the author calls inductive probability. Inductive probability is "the degree of belief which it is reasonable to place on a proposition on given evidence." The essential difference between the two concepts of probability is that statistical probability is an empirical concept, while "inductive probability is a logical concept." Bulmer closes chapter 1 by saying, "It has been reluctantly concluded by most statisticians that inductive probability cannot in general be measured and, therefore, cannot be ............" Read chapter 1 to find some interesting arguments in support of this proposition - a proposition that may be surprising to some people. As a result (and as the book's title suggests) Bulmer keeps his book almost exclusively in the domain of statistical probability.
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Format: Taschenbuch
This small book is awesome. It explains basic definitions of the probability theory and statistics VERY clearly. The author first discusses what is the probability, why there are different kinds of probabilities and what are the basic rules to deal with probability.

He presents different simple models and explains a mean, a median, what is a moment, variance, etc. He also explains WHY these definitions are so important and shows to the reader HOW to use them in any statical research.

I have enjoyed reading this book. It's short, but so clear and interesting, that you will never forget basic classic definitions of probability and statistics.

5 Stars!
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Format: Taschenbuch
I've learned probability and statistics from at least four other authors, and have constantly been browsing other textbooks that appear in the bookstore. I chanced upon Bulmer's 1965 book one fortunate day. It is still useful and relevant more than thirty years after its first printing. This clear and elegant book is also concise and straight-to-the-point, offering beautiful and brief developments of material that usually appears hopelessly muddled in many a reputable current statistics textbook (e.g., different notions of probability, the binomial, Poisson, normal distributions, and the Central Limit Theorem). Aside from the solid mathematics and many worked examples, the book includes a few entertaining digressions into the history of the subject.
In short, learn and review statistics from this classic. Thank you, Mr. Bulmer, and Dover Publications (for making this textbook available in a nice format at such a low price).
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Format: Taschenbuch Verifizierter Kauf
I am a practitioner of Machine Learning and have been using the techniques of statistics in solving my Computer Vision problems. I always wondered, however, why the darn thing works. I had an intuition but lacked an organized and systematic explanation of those intuitions. This book by Bulmer is top class stuff! ACHTUNG: If you are new to stats, this might be the wrong book. If you have used the subject but always ask questions such as WHY? WHAT? WTF?, get this book and read it over a weekend. I guarantee, it will be in your shelf for the rest of your life and you would be more than happy to have 'stumbled-upon' this nice little book.

Strong Buy Recommendation.
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