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Methods of Statistical Model Estimation, Paperback by Hilbe, Joseph; Robinson, Andrew, ISBN 0367380005, ISBN-13 9780367380007, Brand New, Free P&P in the UK 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, th 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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