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Více informací o knize Data Analysis Using Hierarchical Generalized Linear Models with R

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Probability & statistics

• Plný název: Data Analysis Using Hierarchical Generalized Linear Models with R
• Autor: Youngjo Lee, Lars Ronnegard, Maengseok Noh
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 334
• EAN: 9781138627826
• ISBN: 9781138627826
• ID: 15856969
• Nakladatelství: Taylor & Francis Ltd
• Hmotnost: 644 g
• Rozměry: 160 × 240 × 24 mm
• Datum vydání: 07. June 2017

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