Posted by **mapusi** at Dec. 4, 2016

English | 18 Sept. 1995 | ISBN: 3540591583 | 405 Pages | DJVU | 3.23 MB

This text aims to give an overview of the previous Sitges Conferences, which have been held during the last 25 years, with special emphasis on topics related to non-equilibrium phenomena. It includes review articles and articles dealing with new trends in the subject, written by scientists who have played an important role in the development of this area.

Posted by **fdts** at Nov. 17, 2016

by Michel Le Bellac, Fabrice Mortessagne, G. George Batrouni

English | 2004 | ISBN: 0521821436 | 634 pages | PDF | 3.88 MB

Posted by **fdts** at Sept. 17, 2016

by David Middleton

English | 2012 | ISBN: 0470948477 | 664 pages | PDF | 6.26 MB

Posted by **Underaglassmoon** at May 24, 2016

Springer | Statistical Theory and Methods | June 21, 2016 | ISBN-10: 9811008884 | 529 pages | pdf | 3.97 mb

Authors: Dixit, Ulhas Jayram

Presents sophisticated mathematical proofs in a simple and easy-to-follow language

Discusses fundamental topics common to many fields of statistical inference, and which offer a point of departure for in-depth study

Posted by **Rare-1** at Jan. 5, 2016

WEBRip | MP4/AVC, ~134 kb/s | 1280 x 720| English: AAC, 59.5 kb/s (2 ch), 44.1 KHz | 445 MB

Genre: Business / Data & Analytics | Language: English | +Project Files

A Step-by-Step Guide to Non-Parametric Statistics in SPSS

Posted by **fdts** at Dec. 16, 2015

by Francis Castanie

English | 2011 | ISBN: 1848212771 | 388 pages | PDF | 14.01 MB

Posted by **libr** at Dec. 9, 2015

English | 2012 | ISBN: 0817648003 | 286 pages | PDF | 3,4 MB

Posted by **ChrisRedfield** at Nov. 25, 2015

Published: 2012-08-23 | ISBN: 1447144643, 1447160460 | PDF | 188 pages | 1.7 MB

Posted by **arundhati** at June 30, 2015

2007 | ISBN-10: 1584889586 | 280 pages | PDF | 4 MB

Posted by **mapusi** at March 24, 2015

English | Dec 18, 2006 | ISBN: 0387464085 | 220 Pages | PDF | 3,6 MB

This book offers a detailed history of parametric statistical inference. Covering the period between James Bernoulli and R.A. Fisher, it examines: binomial statistical inference; statistical inference by inverse probability; the central limit theorem and linear minimum variance estimation by Laplace and Gauss; error theory, skew distributions, correlation, sampling distributions; and the Fisherian Revolution.