Statistical Inference

Great textbook. It covers the most important topics gently building oneach other. The pace of the book is excellent and the writing style is easy to follow - almost addictingly so. It also covers the subtle points that are often left out in normal courses.

This is a good book for teaching and reference. It is not perfect, but it is very helpful.

The price is really competitive and the quliaty of the book is really high. The package is great and no impairment occurs

No major issues, its obvious that the seller tried to hide the fact that the book should only be sold in india/pakistan/etc... but this is not the buyer's risk. Im overlooking this.The binding is fine, the pages themselves are a bit thin, so use a pastel highlighter instead of a standard one to make notes.Some pages are printed at a slight angle(the text is not perfectaly straight with the page) but its not problematic.In some parts, the printed ink is a bit diffuse, but still fully legible.My only caveat is that the text seems to get too close to the binding, so you have to stretch the book a bit to see it better.Either i got lucky with my printed copy, because the other reviews seem to be blowing some of the issues of out of proportion.If you need the book for studying, it'll serve its purpose just fine.If you really insist on better paper quality and perfect allignment/ink print, then buy the more expensive versions.

Okay

A thorough description of statistical theory from the fundamental premices to the major results. Progress throughout the book is carefully structured, with thought even given to the numbering of theorems and examples so that the reader feels comfortable and progress is easy to follow. There is little digression into other areas of maths, with a little vector notation being as hard as it gets. As a result, the prerequisites are few and the flow is uninterrupted.Since Amazon don't, at time of writing, have a table of contents for this book, I'll give a brief run down: Simple probability ideas - intersection/union of events, conditional probability and Bayes probability; random variables - general relationships, functions, etc.; families of distributions - normal, gamma, exponential, etc.; random sampling - theorems, implications, expectation/variance, etc.; normal random variables - implications of the particularisation of previous theories; point estimation theory - how to generate an estimator and how to judge performance; hypothesis testing - formulating and evaluating tests; interval estimation - generating confidence intervals for point estimates, relationship to hypothesis testing. There are one or two other chapters, but these are the only ones I've read thoroughly. There's no reason to believe the others aren't as impressive as these, though.

This book provides an excellent introduction to statistical inference and takes a fairly rigorous approach beginning with set theory and introducing the basic axioms of probability theory before introducing distributions. Despite being aimed at graduate students the prerequisites are fairly modest - the authors suggest a year of calculus plus perhaps some exposure to matrices. The written style is engaging and the authors take the trouble to lead the reader through the development of the material. Again, a pleasant surprise for a book aimed at this audience is that it does not avoid explaining straightforward algebraic manipulations or calculus rules used in the derivations presented - these can often trip up any mortal reader and it is refreshing to have these additional notes so that one is not distracted from the important mathematical point by failing to follow the thread of the argument. There are also copious examples and a huge quantity of exercises (presented without answers).Unfortunately this book is let down by poor printed presentation: my copy features pages with text that is in some places faint and occasional not printed at all; printing is often not aligned with the page with lines running at an angle of several degrees to the page edge, and some pages are not cut from their neighbours. This is a pity as the written content is thoughtfully presented and is otherwise a valuable addition to the bookshelf of many mathematicians, perhaps particularly those with a solid grasp of mathematics but less so a background in statistics.

Pages very thin and print faint in places. Good information and useful for academic purposes or self interest