Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Distributions for Modeling Location, Scale, and Shape: Using Gamlss in R

Distributions for Modeling Location, Scale, and Shape: Using Gamlss in R

Rigby, Robert A.
Stasinopoulos, Mikis D.
Heller, Gillian Z.

Hardcover

Series: Chapman & Hall/CRC the R

General MathematicsProbability & Statistics

ISBN10: 0367278847
ISBN13: 9780367278847
Publisher: CRC Press
Published: Sep 20 2019
Pages: 560
Weight: 2.55
Height: 1.40 Width: 7.10 Depth: 10.20
Language: English

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.

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