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Methods of Statistical Model Estimation 1st Edition

5 out of 5 stars 1 customer review
ISBN-13: 978-1439858028
ISBN-10: 1439858020
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Editorial Reviews

Review

"This book is a concise volume of statistical methods associated with parametric models. With a rich set of R codes, the book contains full demonstration of how to apply the parametric statistical models to obtain desired results of analyses with minimal theoretical details. … a useful reference book for a graduate course on statistical models using a standard textbook … many illustrative samples are truly easy to understand. This book is also handy for understanding the algorithm used in statistical model fitting, using the R programming language."
―Jae-kwang Kim, Biometrics, March 2014

About the Author

Joseph M. Hilbe is a Solar System Ambassador with NASA's Jet Propulsion Laboratory at the California Institute of Technology, an adjunct professor of statistics at Arizona State University, and an Emeritus Professor at the University of Hawaii. An elected fellow of the American Statistical Association and elected member (fellow) of the International Statistical Institute, Professor Hilbe is president of the International Astrostatistics Association, editor-in-chief of two book series, and currently on the editorial boards of six journals in statistics and mathematics. He has authored twelve statistics texts, including Logistic Regression Models, two editions of the bestseller Negative Binomial Regression, and two editions of Generalized Estimating Equations (with J. Hardin).

Andrew P. Robinson is Deputy Director of the Australian Centre for Excellence in Risk Analysis with the Department of Mathematics and Statistics at the University of Melbourne. He has coauthored the popular Forest Analytics with R and the best-selling  Introduction to Scientific Programming and Simulation using R. Dr. Robinson is the author of "IcebreakeR," a well-received introduction to R that is freely available online. With Professor Hilbe, he authored the R COUNT and MSME packages, both available on CRAN. He has also presented at numerous workshops on R programming to the scientific community.

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Product Details

  • Hardcover: 255 pages
  • Publisher: Chapman and Hall/CRC; 1 edition (May 28, 2013)
  • Language: English
  • ISBN-10: 1439858020
  • ISBN-13: 978-1439858028
  • Product Dimensions: 0.8 x 6.5 x 9.5 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,895,510 in Books (See Top 100 in Books)

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"Methods of Statistical Model Estimation" successfully combines three objectives. It provides a close look under the hood of some of the most popular estimation methods, making extensive use of R code in the process, and also offers practical tips on application. Very concise, well-organized and well-written. Pricy, but I feel I got my money's worth.
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