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Data Analysis Using Hierarchical Generalized Linear Models with R

Jezik AngleščinaAngleščina
Knjiga Trda
Knjiga Data Analysis Using Hierarchical Generalized Linear Models with R Youngjo Lee
Koda Libristo: 15856969
Založba Taylor & Francis Ltd, junij 2017
Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in vario... Celoten opis
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Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the field and, using data examples, illustrates how to analyse various kinds of data using R. It provides a likelihood approach to advanced statistical modelling including generalized linear models with random effects, survival analysis and frailty models, multivariate HGLMs, factor and structural equation models, robust modelling of random effects, models including penalty and variable selection and hypothesis testing.

This example-driven book is aimed primarily at researchers and graduate students, who wish to perform data modelling beyond the frequentist framework, and especially for those searching for a bridge between Bayesian and frequentist statistics.

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O knjigi

Polni naslov Data Analysis Using Hierarchical Generalized Linear Models with R
Jezik Angleščina
Vezava Knjiga - Trda
Datum izida 2017
Število strani 334
EAN 9781138627826
ISBN 9781138627826
Koda Libristo 15856969
Teža 644
Mere 240 x 160 x 24
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