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Methods of Statistical Model Estimation

Methods of Statistical Model Estimation

Andrew Robinson / Joseph Hilbe

120,56 €
IVA incluido
Disponible
Editorial:
Taylor & Francis Ltd
Año de edición:
2019
Materia
Probabilidad y estadística
ISBN:
9780367380007
120,56 €
IVA incluido
Disponible

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Sobre IBD

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.

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Otros libros del autor

  • Methods of Statistical Model Estimation
    Andrew Robinson / Joseph Hilbe
    Methods of Statistical Model Estimation 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.The text presents algorithms for the estimation of a var...
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