Posted by **libr** at Jan. 26, 2014

English | 2001-01-01 | ISBN: 047119364X | 348 pages | PDF | 10.8 mb

The availability of powerful computing methods in recent decades has thrust linear and nonlinear mixed models into the mainstream of statistical application. This volume offers a modern perspective on generalized, linear, and mixed models, presenting a unified and accessible treatment of the newest statistical methods for analyzing correlated, nonnormally distributed data.

Posted by **naag** at April 3, 2017

2015 | 604 Pages | ISBN: 1493928171 | PDF | 10 MB

Posted by **happy4all** at Dec. 1, 2015

2015 | 604 Pages | ISBN: 1493928171 | PDF | 10 MB

Posted by **AlenMiler** at May 21, 2017

English | 18 May 2017 | ASIN: B071Z9L5D5 | 496 Pages | AZW3 | 10.4 MB

Posted by **AlenMiler** at April 13, 2017

English | 10 Apr. 2017 | ASIN: B06Y6DMXG5 | 512 Pages | AZW3 | 14.32 MB

Posted by **fdts** at March 30, 2015

by Keith E. Muller, Paul W. Stewart

English | 2006 | ISBN: 0471214884 | 410 pages | PDF | 35.24 MB

Posted by **interes** at March 4, 2015

English | ISBN: 1441983414, 1441983422 | edition 2011 | PDF | 512 pages | 4 mb

Posted by **interes** at Jan. 28, 2014

English | ISBN: 1441983414, 1441983422 | edition 2011 | PDF | 512 pages | 4 mb

This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model the longitudinal correlations for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models.

Posted by **libr** at Aug. 21, 2015

English | 2015 | ISBN: 3319184814 | 119 pages | PDF | 3 MB

Posted by **interes** at July 20, 2015

English | 2015 | ISBN: 3319184814 | 119 pages | PDF | 3 MB