Introduction to the Theory of Statistics, 3rd Edition by Alexander M. Mood (PDF)

Description

A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year’s course in calculus with no prior knowledge of statistics or probability. Third revised edition.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐This is an excellent book that does a great job of introducing the reader to the theory of statistics. The great thing about this textbook is that it takes you from square one to a pretty high level. There are a lot of examples which are included and the solutions are clear. It should be noted though that this is a book about mathematical statistics, and therefore it is not a cook book. The authors motivate the material, but there is a lot of math. However, the prerequisites are very basic (one year of calculus). By reading this book you will end up understanding the material instead of just memorizing the equation of a binomial distribution for example. I took off one star for two reasons. First, there are no answers to selected problems. I think that this is not acceptable for a textbook. I am not asking for the solutions, only the final answers to make sure that the work that I have done is correct. Second, the book barely mentions the topic of combinatorial analyses even though it (the book) does not suppose prior knowledge of probability. I think that this (minor) gap should be filled by including a small chapter on the topic at the start of the book, or at least as an appendix. Other than that, I highly recommend this book to everyone, even those studying social sciences. Most research methods will require you to understand the material in this book.

⭐One of the most error-free books I’ve seen, so you can pretty much depend on what you read in it. It is mathematical (calculus) and theorem/proof style, so not for the faint of heart. That said, if you really want to understand the basis for probability (first part) and stats (2nd part), this is a great book. It does take time to learn, since you need to work the proofs yourself in order to understand what follows. Also good to work many of the problems for each chapter, since they amplify the treatment. No “answers” or solution key, a drawback if you are doing it solo.

⭐The book is a good introduction to the subject and shows detailed and complete information related to the subject. It almost covers all the concepts and theorems, and it’s both a good reference book and reading material for students in this area.

⭐It’s assigned for a class, but the text portion seems at least readable and well written. It seems like an effective book for learning the material. I haven’t tried any questions yet, so I can’t review those.

⭐good theoretical book for introductory probability and statistical inference. suitable for undergrad.

⭐An old and classic book. Received in good condition

⭐Although the book is old, it explains a lot of concepts from the first principle. It is very helpful if you want to get to the bottom of statistics.

⭐Good book.

⭐An excellent text with lots of examples and a broad range of problems. This may be an old book now, but it remans a very clear and intuitive introduction to probability and statistics without sacrificing much rigour. It would be great if there were an accompanying solutions book.

⭐Recomendo, texto muito claro, contém a derivação de todas as distribuições estatísticas, rigoroso e ao mesmo didático. Indicado para todos os níveis de leitor.

⭐

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