Posted by **Specialselection** at Jan. 19, 2014

English | 2007-03-12 | ISBN: 0470024232 | 460 pages | PDF | 8.5 mb

Posted by **AlenMiler** at Oct. 13, 2014

IOS Press | May 15, 2008 | English | ISBN: 1586038656 | 250 pages | PDF | 3 MB

Advances in Mathematical Modeling for Reliability discusses fundamental issues on mathematical modeling in reliability theory and its applications. Beginning with an extensive discussion of graphical modeling and Bayesian networks, the focus shifts towards repairable systems: a discussion about how sensitive availability calculations parameter choices, and emulators provide the potential to perform such calculations on complicated systems to a fair degree of accuracy and in a computationally efficient manner.

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

by Howard B. Stauffer

English | 2007 | ISBN: 0470165049 | 400 pages | PDF | 20.28 MB

Posted by **arundhati** at Dec. 23, 2014

2009 | ISBN-10: 0470447508 | 230 pages | PDF | 4 MB

Posted by **roxul** at Nov. 16, 2016

English | ISBN: 1439880328 | 2014 | 380 pages | PDF | 7 MB

Posted by **arundhati** at Sept. 18, 2016

2008 | ISBN-10: 0471920835 | 329 pages | PDF | 1 MB

Posted by **Underaglassmoon** at May 17, 2016

Springer | Mathematics | June 13, 2016 | ISBN-10: 3319322842 | 127 pages | pdf | 13.26 mb

Authors: Kolossa, Antonio

Presents observer models which are useful to compute probability distributions over observable events and hidden states

Helps the reader to better understand the neural coding by means of Bayesian rules

Posted by **tanas.olesya** at March 14, 2016

English | 1 Feb. 2005 | ISBN: 1852337788 | 510 Pages | PDF | 3 MB

Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences.

Posted by **libr** at Jan. 15, 2016

English | 2012 | ISBN: 1584889195 | ISBN-13: 9781584889199 | 427 pages | PDF | 4,8 MB

Posted by **nebulae** at Nov. 2, 2015

English | ISBN: 0470669527 | 2012 | PDF | 391 pages | 4 MB