Methods of Statistical Model Estimation

Author : Andrew Robinson,Joseph Hilbe

Paperback

Published : Thursday 5 September 2019

ISBN : 9780367380007

Price : €70.19

Description

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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