Methods of Statistical Model Estimation
Methods of Statistical Model Estimation
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Author: Andrew P. Robinson
Page Count: 255 pages
Published Date: 03 Jul 2013
Publisher: Taylor & Francis Ltd
Publication Country: United States
Language: English
ISBN: 9781439858028
File size: 10 Mb
Download Link: methods of statistical model estimation
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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 variety of 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. The book starts with OLS regression and generalized linear models, building to two-parameter maximum likelihood models for both pooled and panel models. It then covers a random effects model estimated using the EM algorithm and concludes with a Bayesian Poisson model using Metropolis-Hastings sampling. The book's coverage is innovative in several ways. First, the authors use executable computer code to present and connect the theoretical content. Therefore, code is written for clarity of exposition rather than stability or speed of execution. Second, the book focuses on the performance of statistical estimation and downplays algebraic niceties. In both senses, this book is written for people who wish to fit statistical models and understand them. See Professor Hilbe discuss the book.
Read online Methods of Statistical Model Estimation Buy and read online Methods of Statistical Model Estimation Download and read Methods of Statistical Model Estimation ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent Download to iPad/iPhone/iOS, B&N nook Methods of Statistical Model Estimation
Methods of Statistical Model Estimation. Andrew P. Robinson
Author: Andrew P. Robinson
Page Count: 255 pages
Published Date: 03 Jul 2013
Publisher: Taylor & Francis Ltd
Publication Country: United States
Language: English
ISBN: 9781439858028
File size: 10 Mb
Download Link: methods of statistical model estimation
---------------------------------------------------------------
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 variety of 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. The book starts with OLS regression and generalized linear models, building to two-parameter maximum likelihood models for both pooled and panel models. It then covers a random effects model estimated using the EM algorithm and concludes with a Bayesian Poisson model using Metropolis-Hastings sampling. The book's coverage is innovative in several ways. First, the authors use executable computer code to present and connect the theoretical content. Therefore, code is written for clarity of exposition rather than stability or speed of execution. Second, the book focuses on the performance of statistical estimation and downplays algebraic niceties. In both senses, this book is written for people who wish to fit statistical models and understand them. See Professor Hilbe discuss the book.
Read online Methods of Statistical Model Estimation Buy and read online Methods of Statistical Model Estimation Download and read Methods of Statistical Model Estimation ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent Download to iPad/iPhone/iOS, B&N nook Methods of Statistical Model Estimation