This text was the first book on order statistics when it came out in 1970. Now in its second edition it has been praised for its thorough coverage, rigor and clarity. It is still one of the best reference books for this topic.

A very user-friendly book that explains the theory and applications of order statistics. A must have for every Statistician. Well written with tons of references and quite a few examples.

The first edition of this book in 1978 brought the first comprehensive text on outlier methods in statistical analysis. Outliers present important practical problems that have been studied for centuries. The twentieth century brought appropriate formal statistical methods for the detection and treatment of outliers.

The literature on outlier methods was scattered. It is commonly discussed in texts on regression analysis and sometimes in texts on robust statistical methods. Its importance in time series analysis was overlooked for a long time. Gnandesikan took the novel approach of using influence functions to search for multivariate outliers and covered this in his multivariate text. Another monograph exclusively on outlier methods by Doug Hawkins was also published at that time. However Barnett and Lewis gave the first comprehensive and unified account of the existing literature.

The second edition published in 1984 provided an update and added chapters on outliers in spatial data and outliers in time series. The chapter on time series devoted some space to my approach for using an influence function matrix to detect outliers of unspecified type. This third edition that I am reviewing, published in 1995 expanded on the work in the previous editions, restructured the text and added many new references. It continues to be the classic reference on outlier methods.

This book is not a textbook on harmonic analysis; it is an essay on how this important discipline has evolved and what are its main results and applications.

I find this book to be an excellent companion text because it includes a lot of subtle explanations that the usual textbooks lack. It is suitable also for non-mathematicians willing to get a fast introductory survey of the theory.

Its contents are: Overview of Measure Theory and Functional Analysis; Fourier Series Basics; The Fourier Transform; Multiple Fourier Series; Spherical Harmonics; Fractional Integrals, Singular Integrals, and Hardy Spaces; Modern Theories of Integral Operators; Wavelets; A Retrospective; 9 appendices.

Full of interesting comments and historical anecdotes. Extensive Bibliography.

Please take a look at the rest of my reviews.

This is a delightful book on the history of statistics. It is carefully researched and serious in a class witht eh works of Stigler, Porter, Hald and Salsburg.

What is different and interesting about this book is the way it develops. It starts with social facts and the problems as they developed in various countries that required statistical methods and ideas for their solution. We are introduced to the prefects, geometers and astronomers. Early developments and philosophy are covered in the first four chapters including Bayes, averages and aggregates, correlation and causality and probability concepts and paradoxes.

Then developments are separated out by countries with France and England treated in Chapter 5 and Germany and the United States in Chapter 6. The developments in each country are described in terms of the politics and the development of these nations and their needs. Interrelationships are discussed.

Practical Nonparametric and Semiparametric Bayesian Statistics is an extrodinary edited volume. This is the ideal book for graduate level teaching that focuses on biostatistics. This book contains state of the art computational methods with paper submissions from world renowned bayesian statisticians. The book would also be very useful for researchers that are involved in the current trends of Bayesian methods in conjunction with non parametric and semi parametric inference. I was astonished with the books presentation and clarity, and would highly recommend it.

I am terrified of statistics. It's a deep-routed fear that, prior to this book, I had not been able to overcome. This book, though, and I say this quite seriously, has helped me learn to appreciate the stats aspect of Psychology. The book is written in easy to understand language, and it even offers step-by-step guides from some of the more common statistical procedures. Whether you have a knack for statistics or not, this book should be useful. It may be out of print, but every Psych student, undergrad or grad, should try and get a copy of this book.

THis is excellent for the O'Level students who opt to take statistics as a subject and this book could really guide the student towards his/her target to achieve A grade. THis is a very helpful book for me being a student.

If you've taken a stat course and need a refresher or if you're taking your first course this book is a must. Easy to read, clear instructions on how to use statistical formulas and what all the symbols mean. I wish I had gotten this book earlier. In my opinion this is the best book you can purchase as a reference or in addtion to a text. If you are totally lost about stats, buy this book.