Distributions for Modeling Location, Scale, and Shape
eBook - ePub

Distributions for Modeling Location, Scale, and Shape

Using GAMLSS in R

  1. 560 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Distributions for Modeling Location, Scale, and Shape

Using GAMLSS in R

About this book

This is a book about statistical distributions, their properties, and their application to modelling the dependence of the location, scale, and shape of the distribution of a response variable on explanatory variables. It will be especially useful to applied statisticians and data scientists in a wide range of application areas, and also to those interested in the theoretical properties of distributions. This book follows the earlier book 'Flexible Regression and Smoothing: Using GAMLSS in R', [Stasinopoulos et al., 2017], which focused on the GAMLSS model and software. GAMLSS (the Generalized Additive Model for Location, Scale, and Shape, [Rigby and Stasinopoulos, 2005]), is a regression framework in which the response variable can have any parametric distribution and all the distribution parameters can be modelled as linear or smooth functions of explanatory variables. The current book focuses on distributions and their application.

Key features:

  • Describes over 100 distributions, (implemented in the GAMLSS packages in R), including continuous, discrete and mixed distributions.

  • Comprehensive summary tables of the properties of the distributions.

  • Discusses properties of distributions, including skewness, kurtosis, robustness and an important classification of tail heaviness.

  • Includes mixed distributions which are continuous distributions with additional specific values with point probabilities.

  • Includes many real data examples, with R code integrated in the text for ease of understanding and replication.

  • Supplemented by the gamlss website.

This book will be useful for applied statisticians and data scientists in selecting a distribution for a univariate response variable and modelling its dependence on explanatory variables, and to those interested in the properties of distributions.

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Yes, you can access Distributions for Modeling Location, Scale, and Shape by Robert A. Rigby,Mikis D. Stasinopoulos,Gillian Z. Heller,Fernanda De Bastiani in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Preface
  8. I Parametric distributions and the GAMLSS family of distributions
  9. II Advanced topics
  10. III Reference guide
  11. A R code for plots of the reference guide
  12. Bibliography
  13. Index