Posted by **fdts** at Dec. 7, 2016

by G. Arminger, Clifford C. Clogg, M.E. Sobel

English | 1995 (reprint 2013) | ISBN: 1489912940 | 592 pages | PDF | 21.95 MB

Posted by **BUGSY** at May 21, 2015

English | May 27, 2010 | ISBN: 1439836140 | 300 Pages | PDF | 5 MB

Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples…

Posted by **interes** at May 30, 2014

English | 2010 | ISBN-10: 1439836140 | 300 pages | PDF | 6 MB

Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples, and provides R code for implementation.

Posted by **arundhati** at July 17, 2013

2010 | ISBN-10: 1439836140 | 300 pages | PDF | 6 MB

Posted by **fdts** at Nov. 29, 2016

by Norm Matloff

English | 2009 | ISBN: 1616100362 | 274 pages | PDF | 8.48 MB

Posted by **Underaglassmoon** at July 29, 2016

Springer | Mathematics | August 28, 2016 | ISBN-10: 3319404113 | 356 pages | pdf | 11.34 mb

Editors: Chowell, Gerardo, Hyman, James M. (Eds.)

Demonstrates examples of how models can help understand the spread of infections

Presents a discussion on the modern statistical modeling methods to design, conduct, and analyze clinical trials measuring the effectiveness of potential vaccines

Posted by **roxul** at June 9, 2016

English | ISBN: 1439884676 | 2016 | 480 pages | PDF | 13 MB

Posted by **bookwarrior** at Jan. 10, 2016

2009 | 284 Pages | ISBN: 0387922997 | PDF | 8 MB

Posted by **nebulae** at Oct. 22, 2015

English | 2012 | ISBN: 1119941822 | 598 pages | PDF | 11,8 MB

Posted by **naag** at Oct. 10, 2015

MP4 | Video: 1280x720 | 56 kbps | 48 KHz | Duration: 3 Hours | 531 MB

Learn how to use machine learning algorithms and statistical modeling for clustering, decision trees, etc by using R