Cross Section And Experimental Data Analysis

Econometric Analysis of Cross Section and Panel Data (MIT Press)(Repost)  eBooks & eLearning

Posted by Nice_smile) at Jan. 18, 2017
Econometric Analysis of Cross Section and Panel Data (MIT Press)(Repost)

Econometric Analysis of Cross Section and Panel Data (MIT Press) by Jeffrey M Wooldridge
English | 2010 | ISBN: 0262232588 | 1096 Pages | PDF | 7.06 MB

Econometric Analysis of Cross Section and Panel Data (Repost)  eBooks & eLearning

Posted by Specialselection at Feb. 9, 2014
Econometric Analysis of Cross Section and Panel Data (Repost)

Jeffrey M. Wooldridge, "Econometric Analysis of Cross Section and Panel Data"
English | 2001-10-01 | ISBN: 0262232197 | 776 pages | PDF | 6.6 mb

Econometric Analysis of Cross Section and Panel Data  eBooks & eLearning

Posted by elodar at Nov. 25, 2012
Econometric Analysis of Cross Section and Panel Data

Jeffrey M Wooldridge, "Econometric Analysis of Cross Section and Panel Data"
English | 2010-10-01 | ISBN: 0262232588 | 1096 pages | PDF | 12.2 mb
Jeffrey M. Wooldridge  - Econometric Analysis of Cross Section and Panel Data (Repost)

Jeffrey M. Wooldridge - Econometric Analysis of Cross Section and Panel Data
The MIT Press | 2001 | ISBN: 0262232197 | Pages: 776 | PDF | 3.56 MB
Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) [Repost]

Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) by S. Ejaz Ahmed
English | 6 Apr. 2017 | ISBN: 3319415727 | 400 Pages | PDF | 11.58 MB

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.

Numeric Computation and Statistical Data Analysis on the Java Platform  eBooks & eLearning

Posted by AvaxGenius at July 14, 2017
Numeric Computation and Statistical Data Analysis on the Java Platform

Numeric Computation and Statistical Data Analysis on the Java Platform By Sergei V. Chekanov
English | PDF(Repost),EPUB | 2016 | 635 Pages | ISBN : 3319285297 | 20.6 MB

Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered by the Java platform can easily be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell.
Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition (Repost)

Robert Ho, "Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition"
2014 | ISBN-10: 1439890218 | 561 pages | PDF | 26 MB
Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) [Repost]

Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) by S. Ejaz Ahmed
English | 6 Apr. 2017 | ISBN: 3319415727 | 400 Pages | PDF | 11.58 MB

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.

Numeric Computation and Statistical Data Analysis on the Java Platform  eBooks & eLearning

Posted by tukotikko at July 23, 2016
Numeric Computation and Statistical Data Analysis on the Java Platform

Numeric Computation and Statistical Data Analysis on the Java Platform By Sergei V. Chekanov
2016 | 648 Pages | ISBN: 3319285297 | PDF | 12 MB

Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering  eBooks & eLearning

Posted by Underaglassmoon at April 15, 2016
Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering

Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
Springer | Database Management | March 24 2016 | ISBN-10: 1447167910 | 647 pages | pdf | 7.5 mb

Authors: Lerman, Israël César
Offers a step-by-step process of the path of the data to the synthetic structure summarizing the data given by a hierarchical or non-hierarchical clustering
Presents brand new principles and methods within the Data Mining field
Examines ascendant agglomerative hierarchical clustering and Likelihood Linkage Analysis (LLA) clustering methods from metrical, algorithmic and computational aspects