Applied Statistics Using Quantiles

Applied Statistics Using Quantiles

Author: Marco Geraci

Publisher: Wiley

ISBN: 1118856724

Category: Mathematics

Page: 500

View: 257

Download Now →

The book is devoted to quantile-based methods of analysis. It is divided in three parts. Part I introduces general topics in statistics and sets out the goals of statistical analysis and describes the double-faced nature of statistical distributions, namely probability and quantile functions and how the latter can be used to extract information from the data. In particular, chapter 3 (location, scale and shape of probability distributions) describes where such information resides; this is a recurring theme throughout the book and is further developed in Chapters 8 and 14. While inferential procedures based on modelling probability functions have been widely described in a number of statistical textbooks, scientific contributions to the development of quantile-based inference are sparse and lack a comprehensive treatment. The main topics of the book are discussed in parts II and III, which introduce methods and applications for unconditional and conditional quantiles. Each part considers: the distribution-free approach, in which quantile estimation makes no use of parametric probability models; and the model-based approach, in which the quantile function is defined as the inverse of a known distribution function, thus quantile estimation conforms to some statistical model (e.g., Normal, exponential, Pareto). The book emphasises that in a quantile model-based approach the modelling step starts from the quantile function directly (as opposed to modelling the distribution function and deriving the quantiles by inversion).
Applied Statistics Using Quantiles
Language: en
Pages: 500
Authors: Marco Geraci
Categories: Mathematics
Type: BOOK - Published: 2020-05-18 - Publisher: Wiley

The book is devoted to quantile-based methods of analysis. It is divided in three parts. Part I introduces general topics in statistics and sets out the goals of statistical analysis and describes the double-faced nature of statistical distributions, namely probability and quantile functions and how the latter can be used
Applied Statistics Using SPSS, STATISTICA and MATLAB
Language: en
Pages: 452
Authors: Joaquim P. Marques de Sá
Categories: Mathematics
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

Assuming no previous statistics education, this practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and
Modern Applied Statistics with S
Language: en
Pages: 498
Authors: W.N. Venables, B.D. Ripley
Categories: Mathematics
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.
Modern Applied Statistics with S-PLUS
Language: en
Pages: 549
Authors: William N. Venables, Brian D. Ripley
Categories: Mathematics
Type: BOOK - Published: 2013-11-11 - Publisher: Springer Science & Business Media

A guide to using the power of S-PLUS to perform statistical analyses, providing both an introduction to the program and a course in modern statistical methods. Readers are assumed to have a basic grounding in statistics, thus the book is intended for would-be users, as well as students and researchers
Modern Applied Statistics with S-PLUS
Language: en
Pages: 501
Authors: W.N. Venables, B.D. Ripley
Categories: Computers
Type: BOOK - Published: 2013-04-17 - Publisher: Springer Science & Business Media

This best-selling guide has been completely updated to present the newest features of S-PLUS 5.0, and includes the very latest computationally-intensive methods and techniques. In addition, extensive software libraries, data sets, and complements will be available online. "the task the authors have undertaken is challenginggetting new S/S-Plus users to quickly