Isbn: 9780367657925 - data analysis using hierarchical generalized linear models with r

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 336 pp. Englisch.…

Data Analysis Using Hierarchical Generalized Linear Models with R

Maengseok Noh

Idioma: Inglés

Editorial: Taylor & Francis Ltd (Sales), 2020

0367657929 / 9780367657925

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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Condición: Nuevo

EUR 80,05

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Se envía de Alemania a Estados Unidos de America

Cantidad disponible: 2 disponibles

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Isbn: 9780367657925 - data analysis using hierarchical generalized linear models with r (18 resultados)

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Data Analysis Using Hierarchical Generalized Linear Models With R

Data Analysis Using Hierarchical Generalized Linear Models with R: Strategy

Data Analysis Using Hierarchical Generalized Linear Models With R

Data Analysis Using Hierarchical Generalized Linear Models with R

Data Analysis Using Hierarchical Generalized Linear Models with R

Data Analysis Using Hierarchical Generalized Linear Models with R

Data Analysis Using Hierarchical Generalized Linear Models With R

Data Analysis Using Hierarchical Generalized Linear Models With R

Data Analysis Using Hierarchical Generalized Linear Models with R: Strategy

Data Analysis Using Hierarchical Generalized Linear Models with R

Data Analysis Using Hierarchical Generalized Linear Models with R: Strategy

Data Analysis Using Hierarchical Generalized Linear Models with R

Data Analysis Using Hierarchical Generalized Linear Models With R

Data Analysis Using Hierarchical Generalized Linear Models with R

Data Analysis Using Hierarchical Generalized Linear Models with R

Data Analysis Using Hierarchical Generalized Linear Models with R

Data Analysis Using Hierarchical Generalized Linear Models with R

Data Analysis Using Hierarchical Generalized Linear Models with R