Posted by **ksveta6** at Aug. 16, 2017

2017 | ISBN: 1138627828 | English | 334 pages | PDF | 23 MB

Posted by **nebulae** at Feb. 21, 2017

English | ISBN: 149872096X | 2017 | 413 pages | PDF | 43 MB

Posted by **ChrisRedfield** at Aug. 4, 2014

Published: 2005-12-20 | ISBN: 158488424X | PDF | 312 pages | 3 MB

Posted by **fdts** at Nov. 23, 2015

by Faraway J.

English | 2005 | ISBN: 0203492285 | 312 pages | PDF | 7.78 MB

Posted by **AvaxGenius** at Nov. 11, 2017

English | PDF,EPUB | 2017 | 276 Pages | ISBN : 9811069948 | 10.34 MB

This book provides practical applications of doubly classified models by using R syntax to generate the models. It also presents these models in symbolic tables so as to cater to those who are not mathematically inclined, while numerous examples throughout the book illustrate the concepts and their applications.

Posted by **naag** at Dec. 21, 2015

MP4 | Video: 1280x720 | 60 kbps | 44 KHz | Duration: 15 Hours | 3.49 GB

Learn to model with R: ANOVA, regression, GLMs, survival analysis, GAMs, mixed-effects, split-plot and nested designs

Posted by **fdts** at Dec. 25, 2014

by Raymond H. Myers, Douglas C. Montgomery

English | 2010 | ISBN: 0470454636 | 496 pages | PDF | 28.11 MB

Posted by **BUGSY** at June 4, 2015

English | July 13, 2006 | ISBN: 1584886315 | 411 Pages | PDF | 6 MB

Since their introduction in 1972, generalized linear models (GLMs) have proven useful in the generalization of classical normal models. Presenting methods for fitting GLMs with random effects to data, Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood explores a wide range…

Posted by **interes** at May 1, 2015

English | 2014 | ISBN: 1439887330 | 286 pages | PDF | 1,7 MB

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

English | 2004 | ISBN: 1584884258 | 240 pages | PDF | 10,6 MB

This textbook focuses on the practice of regression and analysis of variance. Readers will learn which methods are available and the various situations in which they can be applied. Numerous examples clarify the use of the techniques and demonstrate what conclusions can be made.