Statistical Modelling with Quantile Functions
Editorial Reviews
Review
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 work…researchers 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, wherever possible, 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
Book Description
Statistical Modeling with Quantile Functions presents a fresh, practical approach to statistical modeling and offers a new perspective on statistical distribution. Together, this approach and perspective provide a modeling kit for both deterministic and random elements in models and give new insight into the structure of distributions. The methods described focus on the parametric use of quantile functions that lead to meaningful parameters and transform the model rather than the data. Many of the statistical tools introduced in the book will help readers build and investigate models for their own statistical problems.
Statistical Modelling with Quantile Functions
Statistical Modelling with Quantile Functions,Warren Gilchrist,Chapman & Hall/CRC,1584881747,Applied,Distribution (Probability theo,Distribution (Probability theory),Mathematics,Probabilities,Probability & Statistics - General,Sampling (Statistics),Science/Mathematics,Mathematical modelling,Mathematics / Statistics,Probability & statistics
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