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Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series)

Unknown Author
4.9/5 (27395 ratings)
Read Now Download Now ⏭ listen AudioBook
Description:This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent. GAMLSS allows any parametric distribution for the response variable and modelling all the parameters (location, scale and shape) of the distribution as linear or smooth functions of explanatory variables. This book provides a broad overview of GAMLSS methodology and how it is implemented in R. It includes a comprehensive collection of real data examples, integrated code, and figures to illustrate the methods, and is supplemented by a website with code, data and additional materials.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series). To get started finding Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
571
Format
PDF, EPUB & Kindle Edition
Publisher
CRC Press
Release
2017
ISBN
1351980378

Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series)

Unknown Author
4.4/5 (1290744 ratings)
Read Now Download now ⏭ listen AudioBook
Description: This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent. GAMLSS allows any parametric distribution for the response variable and modelling all the parameters (location, scale and shape) of the distribution as linear or smooth functions of explanatory variables. This book provides a broad overview of GAMLSS methodology and how it is implemented in R. It includes a comprehensive collection of real data examples, integrated code, and figures to illustrate the methods, and is supplemented by a website with code, data and additional materials.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series). To get started finding Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
571
Format
PDF, EPUB & Kindle Edition
Publisher
CRC Press
Release
2017
ISBN
1351980378

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