{"product_id":"hilbe-joseph-methods-of-statistical-model-estimation-9780367380007","title":"Methods of Statistical Model Estimation","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.","brand":"Chapman and Hall\/CRC","offers":[{"title":"Default Title","offer_id":53700405625174,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0925\/5829\/5382\/files\/product_image_9780367380007_1.jpg?v=1778865094","url":"https:\/\/www.momoxbooks.com\/products\/hilbe-joseph-methods-of-statistical-model-estimation-9780367380007","provider":"momoxbooks","version":"1.0","type":"link"}