Chapman & Hall/CRC Handbooks of Modern Statistical Methods

New and Published Books

1-3 of 3 results in Chapman & Hall/CRC Handbooks of Modern Statistical Methods

1. Handbook of Markov Chain Monte Carlo

   Edited by Steve Brooks, Andrew Gelman, Galin Jones, Xiao-Li Meng

   Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

   Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an...

   Published May 9th 2011 by Chapman and Hall/CRC
2. Handbook of Spatial Statistics

   Edited by Alan E. Gelfand, Peter Diggle, Peter Guttorp, Montserrat Fuentes

   Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

   Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among...

   Published March 18th 2010 by CRC Press
3. Longitudinal Data Analysis

   Edited by Garrett Fitzmaurice, Marie Davidian, Geert Verbeke, Geert Molenberghs

   Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

   Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and...

   Published August 10th 2008 by Chapman and Hall/CRC