Posted by **arundhati** at Feb. 8, 2017

English | ISBN: 019959175X | 2012 | 480 pages | PDF | 9 MB

Posted by **hill0** at Dec. 5, 2016

English | 20 Dec. 2016 | ISBN: 9462392242 | 308 Pages | PDF | 2.24 MB

Ordered Random Variables have attracted several authors. The basic building block of Ordered Random Variables is Order Statistics which has several applications in extreme value theory and ordered estimation.

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

English | ISBN: 019959175X | 2012 | 480 pages | PDF | 9 MB

Posted by **step778** at July 29, 2015

2003 | pages: 661 | ISBN: 0521534291 | PDF | 2,7 mb

Posted by **Veslefrikk** at July 28, 2014

Publisher: S===nger | ISBN: 1461407532 | 2011 | PDF | 558 pages | 18.4 MB

Posted by **ChrisRedfield** at April 10, 2014

Published: 2012-09-23 | ISBN: 3642335519 | PDF | 250 pages | 10 MB

Posted by **nebulae** at Dec. 30, 2013

English | ISBN: 019959175X | 2012 | 480 pages | PDF | 9 MB

Posted by **avava** at Feb. 27, 2012

Publisher: S===nger | ISBN: 1461407532 | 2011 | PDF | 558 pages | 18.4 MB

Posted by **arundhati** at Feb. 20, 2017

English | ISBN: 3662533227 | 2016 | 316 pages | PDF | 6 MB

Posted by **tanas.olesya** at Feb. 18, 2017

English | 24 Jan. 2013 | ISBN: 0199695601 | 720 Pages | PDF | 8 MB

The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics.