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Methods of Statistical Model Estimation - Joseph Hilbe,Andrew Robinson

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2019-09-05
112,98 € 188,30 €

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This book examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model fitting. It presents algorithms for the estimation of a variety of useful regression procedures using maximum likelihood est ... Täielik kirjeldus

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Kirjeldus

This book examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model fitting. It presents algorithms for the estimation of a variety of useful regression procedures using maximum likelihood estimation, iteratively reweighted least squares regression, the EM algorithm, and MCMC sampling. Fully developed, working R code is constructed for each method.

Lisateave

Autor Joseph Hilbe, Andrew Robinson
Kirjastaja Taylor & Francis Ltd (Sales)
Väljalaskeaasta 2019
Kaanetüüp Pehme kaanega
EAN 9780367380007
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Te vaatate: Methods of Statistical Model Estimation
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112,98 € 188,30 €