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Customer reviews

3.5 out of 5 stars
3.5 out of 5 stars
Mathematical Statistics with Applications, International Edition
Format: Paperback|Change
Price:£56.99+ Free shipping with Amazon Prime

on 5 August 2016
Statistics is a very difficut subject, and requires a lot of mathematical knowledge and maturity in order to deeply understand its logic and its many subtleties. Most introductory books for undergraduates tend to greatly simplify the theoretical material needed to master statistics, in order to fit the usual background of students. These books often result in oversimplification of the topics, and the final product is a stream of horrible "introductory" books which are barely intelligible when, for example, they pretend to explain difficult concepts without the necessary theoretical concepts needed and without the necessary rigour.

Having said this, let me make my point about this book. This is an introduction to statistics which is not at the completely rigorous level, and tends to the applications rather than the theory. As such, it manages to convey some statistical content, however, contrary to what many reviews tend to believe, is not a rigorous nor a profoundly written book on statistics. The background required to the reader is rather elementary - just a little of calculus, and no use of the more advanced topics like measure theory necessary to develop statistics at the rigorous level - is made throughout the text. All the proofs are quite elementary and given only for particular cases (e.g., discrete variables, continuous variables), and almost never in the general case. The explanations, however, are often insufficient and unclear. Having to accomodate for an audience of readers without background in measure theory, the authors almost invariaby opt for "shortcuts" when they introduce advanced concepts - and almost invariably fail to provide clear and convincing explanations. For instance, in Chapter 9, which is the technical core of the book. where the basic properties of estimators are introduced, the discussion of sufficient statistics, and of the Rao-Blackwell theorem is awful. In fact, without the introduction of the notion of sigma-algebra, it is virtually impossible to explain what a sufficient statistic really is, and this text fails completely to explain this idea in convincing and clear terms. The discussion following the Rao-Blackwell theorem is unintelligible to say the least: no explanations are provided for the method of finding MVUEs, and the examples in that section only serve to apply th recipe. Also, I found the rest of this chapter very poorly written.

As I wrote before, this book is definitely practice-oriented, and there are many exercises. However, most of the problems, after the insufficient level of the theoretical part, seem just some mechanical applications of a set of rules rather than a real test for understanding of the material. Therefore, most of the exercises are just variations over a single type of problem, which is okay if you want a "hand" in doing things, but is absolutely useless if you wish to understand in depth your subject of study. Just do a couple of problems for each section, and that will be enough.

In conclusion, this text falls in the category of "statistics made easy for undergraduates who must know how to apply things rather than understand how and why things work", and it is fairly okay if your aim is that. But is useless if you expect to understand and master the concepts of Mathematical Statistics the proper way. Not recommended.
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on 6 November 2016
I bought the book to practice aside of my lecture and recap. Explanations are okay. BUT there is a lack in concept when it comes to the "with Applications". The exercises are nearly useless, because there is no way to correct and learn from them. Some chapters give you 20 exercises but only 5 results. And we are just talking about plain results (e.g. 3.1xx=.764) and not the calculations process, any hints or description. The additional "solution" book also covers only the same exercises. If you did a calc or logical mistake, there is no way to correct it as long you don't spend hours until you find it. If you don't do any mistakes, fine, then the book will be perfect for you.
In the end, I'm really disappointed by the book.
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on 20 September 2014
Product arrived quicker than anticipated. However, I was expecting the book to be brand new and sealed and this wasn't the case. Overall, a very concise book for anyone who is looking to indulge in Statistical Theory.
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on 2 November 2014
good condition
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on 14 January 2013
First of all, I have the paperback, International version of this book. No idea if content is the same, but what I'm seeing in my book is pretty darn awesome. Basically, this book is a complete text, suitable for raising your stats skills from virtually zero (there's also a background chapter on probability) to a reasonably good level, and is suitable if you're interested into moving into further areas such as e.g. stochastic calculus. I have absolutely nothing bad to say about the book - the theory is there, it's clear, not proof-heavy and doesn't use weird greek symbols that other books like to use. The exercises are all meaningful and not insanely difficult, and you do actually get answers in the back. So nothing bad to say about this book, I'm using it as a main stats text and loving it. Definitely worth the money.
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on 5 October 2010
The book contains a lot good information.
Really helpful when revising for exams
Some proofs are actually very difficult to understand
But overall is an OK book
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