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CRC Press Flexible Regression and Smoothing: Using GAMLSS in R

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Description

Master advanced data analysis with Flexible Regression and Smoothing: Using GAMLSS in R from the Chapman and Hall/CRC The R Series. This book provides a deep dive into learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS) framework. As datasets become larger and more complex, traditional methods often fall short. This text explains how GAMLSS extends Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to handle these modern challenges. You will learn how to fit flexible regression and smoothing models to your data, allowing for much greater precision in your statistical modeling.

Key Features

Learn to use the GAMLSS framework to extend Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs).

Develop flexible regression and smoothing models designed to accommodate large and complex datasets.

Apply models that assume the response variable follows any parametric distribution, including continuous, discrete, or mixed types.

Analyze data with heavy- or light-tailed distributions and manage both positively or negatively skewed datasets.

Study advanced statistical methods as part of the professional Chapman and Hall/CRC The R Series.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 May 2017
Listed Since
30 August 2016

Barcode

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