Posted by **hill0** at Feb. 4, 2018

English | 8 Jun. 2017 | ISBN: 1498700446 | 272 Pages | PDF | 4.93 MB

Large sample techniques are fundamental to all fields of statistics. Mixed effects models, including linear mixed models, generalized linear mixed models, non-linear mixed effects models, and non-parametric

Posted by **libr** at Aug. 29, 2014

English | 2013 | ISBN: 1439884714 | 262 pages | PDF | 6,9 MB

A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments in the field. Case studies are used extensively throughout the book to illustrate interesting applications from economics, medicine and health, marketing, and genetics.

Posted by **interes** at Sept. 30, 2013

English | 2013 | ISBN: 1439884714 | 262 pages | PDF | 6,9 MB

A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments in the field. Case studies are used extensively throughout the book to illustrate interesting applications from economics, medicine and health, marketing, and genetics.

Posted by **AvaxGenius** at Feb. 25, 2018

This book focuses on developments in complex dynamical systems and geometric function theory over the past decade, showing strong links with other areas of mathematics and the natural sciences.

Traditional methods and approaches surface in physics and in the life and engineering sciences with increasing frequency – the Schramm‐Loewner evolution, Laplacian growth, and quadratic differentials are just a few typical examples. This book provides a representative overview of these processes and collects open problems in the various areas, while at the same time showing where and how each particular topic evolves.

This volume is dedicated to the memory of Alexander Vasiliev.

Posted by **AvaxGenius** at Feb. 22, 2018

English | PDF,EPUB | 2018 | 350 Pages | ISBN : 3319655566 | 18.59 MB

This book explores Probabilistic Cellular Automata (PCA) from the perspectives of statistical mechanics, probability theory, computational biology and computer science. PCA are extensions of the well-known Cellular Automata models of complex systems, characterized by random updating rules.

Posted by **hill0** at Feb. 9, 2018

English | 23 Dec. 2016 | ISBN: 3319488163 | 246 Pages | PDF | 2.64 MB

Posted by **arundhati** at Oct. 26, 2017

2013 | ISBN: 1461471710 | 340 pages | EPUB, PDF (reup) | 4 + 4 MB

Posted by **interes** at Oct. 13, 2017

English | 2014 | ISBN: 0470582294 | 320 pages | PDF | 2,7 MB

Posted by **roxul** at March 12, 2018

English | 13 Apr. 2017 | ISBN: 3319514598 | 249 Pages | EPUB | 4 MB

Posted by **hill0** at March 3, 2018

English | 1 Feb. 2018 | ISBN: 3319706187 | 384 Pages | PDF | 6.16 MB