Statistical Learning Regression

Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning

Alan J. Izenman, "Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning"
Springer | 2008 | ISBN: 0387781889 | 734 pages | PDF | 14,7 MB

Learning Regression Analysis by Simulation  eBooks & eLearning

Posted by AvaxGenius at July 30, 2017
Learning Regression Analysis by Simulation

Learning Regression Analysis by Simulation By Kunio Takezawa
English | EPUB | 2014 | 300 Pages | ISBN : 4431543201 | 3.14 MB

The standard approach of most introductory books for practical statistics is that readers first learn the minimum mathematical basics of statistics and rudimentary concepts of statistical methodology. They then are given examples of analyses of data obtained from natural and social phenomena so that they can grasp practical definitions of statistical methods. Finally they go on to acquaint themselves with statistical software for the PC and analyze similar data to expand and deepen their understanding of statistical methods.
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Repost)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition By Trevor Hastie, Robert Tibshirani, Jerome Friedman
English | PDF | 2009 | 2009 | 756 Pages | ISBN : 0387848576 | 16 MB

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing.

An Introduction to Statistical Learning: with Applications in R  eBooks & eLearning

Posted by tarantoga at Feb. 15, 2017
An Introduction to Statistical Learning: with Applications in R

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, "An Introduction to Statistical Learning: with Applications in R"
ISBN: 1461471370 | 2013 | EPUB | 426 pages | 4 MB

An Introduction to Statistical Learning: with Applications in R [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Jan. 22, 2017
An Introduction to Statistical Learning: with Applications in R [Repost]

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani - An Introduction to Statistical Learning: with Applications in R
Published: 2013-08-12 | ISBN: 1461471370 | PDF | 426 pages | 10.71 MB
Statistical Learning from a Regression Perspective (Springer Series in Statistics)

Statistical Learning from a Regression Perspective (Springer Series in Statistics) by Richard A. Berk
English | July 31, 2008 | ISBN: 0387775005 | 372 Pages | PDF | 3 MB

Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors…

Statistical Learning from a Regression Perspective, Second Edition  eBooks & eLearning

Posted by Underaglassmoon at Oct. 31, 2016
Statistical Learning from a Regression Perspective, Second Edition

Statistical Learning from a Regression Perspective, Second Edition
Springer | Statistics Text | November 17, 2016 | ISBN-10: 3319440470 | 347 pages | pdf | 7.9 mb

Authors: Berk, Richard A.
Offers accessible coverage on statistical learning procedures for practitioners
Examines a wide array of real applications
Presents intuitive explanations and visual representation of underlying statistical concepts

The Elements of Statistical Learning: Data Mining, Inference, and Prediction  eBooks & eLearning

Posted by tarantoga at Feb. 15, 2016
The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Trevor Hastie, Robert Tibshirani, Jerome Friedman, "The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition"
ISBN: 0387848576 | 2009 | EPUB | 745 pages | 13 MB

Statistical Learning with Sparsity: The Lasso and Generalizations  eBooks & eLearning

Posted by interes at May 9, 2015
Statistical Learning with Sparsity: The Lasso and Generalizations

Statistical Learning with Sparsity: The Lasso and Generalizations by Trevor Hastie and Robert Tibshirani
English | 2015 | ISBN: 1498712169 | 367 pages | PDF | 17 MB
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd Edition) [Repost]

Trevor Hastie, Robert Tibshirani, Jerome Friedman - The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd Edition)
Published: 2011-04-12 | ISBN: 0387848576 | PDF + DJVU | 745 pages | 23 MB