Nonparametric

The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics (Repost)

The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics by Jeffrey Racine, Liangjun Su and Aman Ullah
English | 2014 | ISBN: 0199857946 | 560 pages | PDF | 3,5 MB

Nonparametric Statistical Methods Using R (Repost)  eBooks & eLearning

Posted by DZ123 at Nov. 13, 2016
Nonparametric Statistical Methods Using R (Repost)

John Kloke, Joseph W. McKean, "Nonparametric Statistical Methods Using R"
English | 2014 | ISBN: 1439873437 | PDF | pages: 283 | 2.0 mb

Nonparametric Statistical Methods Using R (Repost)  eBooks & eLearning

Posted by insetes at Nov. 6, 2016
Nonparametric Statistical Methods Using R (Repost)

Nonparametric Statistical Methods Using R By John Kloke, Joseph W. McKean
2014 | 287 Pages | ISBN: 1439873437 | PDF | 2 MB
Nonparametric Regression and Generalized Linear Models: A roughness penalty approach (Repost)

P.J. Green, Bernard. W. Silverman, "Nonparametric Regression and Generalized Linear Models: A roughness penalty approach"
1993 | pages: 194 | ISBN: 0412300400 | PDF | 4,1 mb
Nonparametric Statistics: 2nd ISNPS, Cádiz, June 2014 (Springer Proceedings in Mathematics & Statistics)

Nonparametric Statistics: 2nd ISNPS, Cádiz, June 2014 (Springer Proceedings in Mathematics & Statistics)
Ricardo Cao, Wenceslao González Manteiga | 2016 | PDF | ISBN: 3319415816 | 224 pages | 4 Mb

Prior Processes and Their Applications: Nonparametric Bayesian Estimation, Second Edition  eBooks & eLearning

Posted by Underaglassmoon at Aug. 1, 2016
Prior Processes and Their Applications: Nonparametric Bayesian Estimation, Second Edition

Prior Processes and Their Applications: Nonparametric Bayesian Estimation, Second Edition
Springer | Statistics | August 28, 2016 | ISBN-10: 3319327887 | 327 pages | pdf | 3.14 mb

Authors: Phadia, Eswar G.
Presents a systematic and comprehensive treatment of various prior processes
Provides valuable resource for nonparametric Bayesian analysis of big data
Includes a section on machine learning
Shows practical examples

Introduction to Nonparametric Statistics for the Biological Sciences Using R  eBooks & eLearning

Posted by AlenMiler at July 12, 2016
Introduction to Nonparametric Statistics for the Biological Sciences Using R

Introduction to Nonparametric Statistics for the Biological Sciences Using R by Thomas W. MacFarland
English | 13 Aug. 2016 | ISBN: 3319306332 | 348 Pages | PDF (True) | 5.13 MB

This book contains a rich set of tools for nonparametric analyses, and the purpose of this supplemental text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences…

Nonparametric Statistical Methods Using R (Repost)  eBooks & eLearning

Posted by tukotikko at July 9, 2016
Nonparametric Statistical Methods Using R (Repost)

Nonparametric Statistical Methods Using R By John Kloke, Joseph W. McKean
2014 | 287 Pages | ISBN: 1439873437 | PDF | 2 MB

Nonparametric Statistical Methods Using R (Repost)  eBooks & eLearning

Posted by bookwyrm at June 21, 2016
Nonparametric Statistical Methods Using R (Repost)

Nonparametric Statistical Methods Using R By John Kloke, Joseph W. McKean
2014 | 287 Pages | ISBN: 1439873437 | PDF | 2 MB

Principles of Nonparametric Learning  eBooks & eLearning

Posted by tanas.olesya at May 28, 2016
Principles of Nonparametric Learning

Principles of Nonparametric Learning by László Györfi
English | Sep. 10, 2002 | ISBN: 3211836888 | 344 Pages | PDF | 24 MB

This volume provides a systematic in-depth analysis of nonparametric learning. It covers the theoretical limits and the asymptotical optimal algorithms and estimates, such as pattern recognition, nonparametric regression estimation, universal prediction, vector quantization, distribution and density estimation, and genetic programming.