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Methods of Statistical Model Estimation|Joseph Hilbe

Methods of Statistical Model Estimation

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Overview

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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Details

  • ISBN-13: 9780367380007
  • ISBN-10: 0367380005
  • Publisher: CRC Press
  • Publish Date: September 2019
  • Dimensions: 9.21 x 6.14 x 0.54 inches
  • Shipping Weight: 0.8 pounds
  • Page Count: 255

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