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9781584881742

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"""The author's writing is clear, and there are excellent problems presented in each chapter. This book is a very good self-contained resource for professionals who are seeking a gentle introduction to the topic of data modeling via quantile functions."" -Telegraphic Reviews ""the book is a good introduction to the subject and will serve statisticians, researchers, etc. in their modelling workresearchers will undoubtedly gain a lot of knowledge and insight of the core modelling ideas and techniques by reading this book. I enjoyed reading this book; it is well written, easy to read and it would be worth considering as a text for honour students or as a seminar course at a graduate level."" Short Book Reviews, Vol. 21, No. 1, April, 2001 ""The methodology developed in this book provides a fundamentally different approach to modeling the stochastic behavior of data in comparison to the standard statistical approach. In the standard approach, models are selected from a library of potentially useful models, with attention generally focused on a few standard models. As the author points out, when there are thousands of observations, standard probability models that are controlled by one or two parameter values may not fit the data very well, especially in the tail area of the distribution. There are no such limitations on models built using the methodology presented here.... I think this book provides a valuable starting point for anyone interested in quantile methods and it makes a strong case for the adoption of these methods as part of the applied statistician's toolbox."" -Technometrics, Vol 43, No. 4, Nov. 2001 ""This book stands the traditional approach on its head by attempting, whereverpossible, to develop statistical methodology with quantiles... This approach turns out to be surprisingly successful. In summary Statistical Modeling with Quantile Functions is an interesting and unorthodox book, whose intentions I applaud. Any book that brings together interesting material on quantiles, particularly their use in statistical inference should be welcomed. -Journal of the American Statistical Association, December 2001 Promo Copy"

The author's writing is clear, and there are excellent problems presented in each chapter. This book is a very good self-contained resource for professionals who are seeking a gentle introduction to the topic of data modeling via quantile functions. -Telegraphic Reviews the book is a good introduction to the subject and will serve statisticians, researchers, etc. in their modelling workresearchers will undoubtedly gain a lot of knowledge and insight of the core modelling ideas and techniques by reading this book. I enjoyed reading this book; it is well written, easy to read and it would be worth considering as a text for honour students or as a seminar course at a graduate level. Short Book Reviews, Vol. 21, No. 1, April, 2001 The methodology developed in this book provides a fundamentally different approach to modeling the stochastic behavior of data in comparison to the standard statistical approach. In the standard approach, models are selected from a library of potentially useful models, with attention generally focused on a few standard models. As the author points out, when there are thousands of observations, standard probability models that are controlled by one or two parameter values may not fit the data very well, especially in the tail area of the distribution. There are no such limitations on models built using the methodology presented here.... I think this book provides a valuable starting point for anyone interested in quantile methods and it makes a strong case for the adoption of these methods as part of the applied statistician's toolbox. -Technometrics, Vol 43, No. 4, Nov. 2001 This book stands the traditional approach on its head by attempting, whereverpossible, to develop statistical methodology with quantiles... This approach turns out to be surprisingly successful. In summary Statistical Modeling with Quantile Functions is an interesting and unorthodox book, whose intentions I applaud. Any book that brings together interesting material on quantiles, particularly their use in statistical inference should be welcomed. -Journal of the American Statistical Association, December 2001 Promo Copy

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Gilchrist, Warren

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