Non Parametric Statistical Test R

25 Years of Non-Equilibrium Statistical Mechanics: Proceedings of the XIII Sitges Conference, Sitges, Barcelona, Spain, 13-17 J

25 Years of Non-Equilibrium Statistical Mechanics: Proceedings of the XIII Sitges Conference, Sitges, Barcelona, Spain, 13-17 June 1994 (Lecture Notes in Physics) by J.J. Brey
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.

Equilibrium and Non-Equilibrium Statistical Thermodynamics  eBooks & eLearning

Posted by fdts at Nov. 17, 2016
Equilibrium and Non-Equilibrium Statistical Thermodynamics

Equilibrium and Non-Equilibrium Statistical Thermodynamics
by Michel Le Bellac, Fabrice Mortessagne, G. George Batrouni
English | 2004 | ISBN: 0521821436 | 634 pages | PDF | 3.88 MB

Non-Gaussian Statistical Communication Theory (repost)  eBooks & eLearning

Posted by fdts at Sept. 17, 2016
Non-Gaussian Statistical Communication Theory (repost)

Non-Gaussian Statistical Communication Theory
by David Middleton
English | 2012 | ISBN: 0470948477 | 664 pages | PDF | 6.26 MB

Examples in Parametric Inference with R  eBooks & eLearning

Posted by Underaglassmoon at May 24, 2016
Examples in Parametric Inference with R

Examples in Parametric Inference with R
Springer | Statistical Theory and Methods | June 21, 2016 | ISBN-10: 9811008884 | 529 pages | pdf | 3.97 mb

Authors: Dixit, Ulhas Jayram
Exclusively focuses on statistical inference
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

Non-Parametric Analysis  eBooks & eLearning

Posted by Rare-1 at Jan. 5, 2016
Non-Parametric Analysis

Non-Parametric Analysis
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
Digital Spectral Analysis: Parametric, Non-Parametric and Advanced Methods (repost)

Digital Spectral Analysis: Parametric, Non-Parametric and Advanced Methods
by Francis Castanie
English | 2011 | ISBN: 1848212771 | 388 pages | PDF | 14.01 MB
Parametric Statistical Change Point Analysis: With Applications to Genetics, Medicine, and Finance, 2 edition (repost)

Jie Chen, Arjun K. Gupta, "Parametric Statistical Change Point Analysis: With Applications to Genetics, Medicine, and Finance, 2 edition"
English | 2012 | ISBN: 0817648003 | 286 pages | PDF | 3,4 MB
Non-parametric Tuning of PID Controllers: A Modified Relay-Feedback-Test Approach [Repost]

Igor Boiko - Non-parametric Tuning of PID Controllers: A Modified Relay-Feedback-Test Approach
Published: 2012-08-23 | ISBN: 1447144643, 1447160460 | PDF | 188 pages | 1.7 MB

Statistical Test Theory for the Behavioral Sciences  

Posted by arundhati at June 30, 2015
Statistical Test Theory for the Behavioral Sciences

Dato N. M. de Gruijter, Leo J. Th. van der Kamp, "Statistical Test Theory for the Behavioral Sciences"
2007 | ISBN-10: 1584889586 | 280 pages | PDF | 4 MB
A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935

A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935 (Sources and Studies in the History of Mathematics and Physical Sciences) by Anders Hald
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.