Posted by **nebulae** at April 17, 2015

English | ISBN: 0387953183 | 2001 | 312 pages | Djvu | 6 MB

Posted by **tanas.olesya** at Dec. 7, 2014

English | November 30, 2000 | ISBN: 038794978X | 749 pages | PDF | 5 MB

A knowledge of matrix algebra is a prerequisite for the study of much of modern statistics, especially the areas of linear statistical models and multivariate statistics. This reference book provides the background in matrix algebra necessary to do research and understand the results in these areas.

Posted by **step778** at May 21, 2014

2000 | pages: 748 | ISBN: 038794978X | PDF | 5,6 mb

Posted by **DZ123** at Feb. 12, 2018

English | 2001 | ISBN: 0898714540 | PDF | pages: 890 | 6.9 mb

Posted by **IrGens** at June 20, 2017

English | January 12, 2014 | ASIN: B00HLW5V9U | AZW3 | 219 pages | 3.4 MB

Posted by **roxul** at Jan. 7, 2018

English | ISBN: 3319142399 | 2015 | 184 pages | PDF | 14 MB

Posted by **AvaxGenius** at Dec. 31, 2017

English | PDF,EPUB | 2017 | 474 Pages | ISBN : 3319709356 | 12.06 MB

This textbook discusses central statistical concepts and their use in business and economics. To endure the hardship of abstract statistical thinking, business and economics students need to see interesting applications at an early stage. Accordingly, the book predominantly focuses on exercises, several of which draw on simple applications of non-linear theory. The main body presents central ideas in a simple, straightforward manner; the exposition is concise, without sacrificing rigor.

Posted by **interes** at Nov. 4, 2017

English | 2010 | ISBN: 3642111335 | 229 pages | PDF | 5,3 MB

Posted by **thingska** at May 21, 2017

English | 2017 | ASIN: B00NFSNIJE | 131 Pages | PDF | 534.10 KB

Posted by **Underaglassmoon** at June 15, 2016

Springer | Statistics Textbook | July 8, 2016 | ISBN-10: 3319287079 | 1069 pages | pdf | 82.44 mb

Authors: Wendler, Tilo, Gröttrup, Sören

Provides a step by step introduction to the IBM SPSS Modeler

Features numerous explanatory illustrations and data examples

Covers all levels of complexity, from basic statistics to advanced predictive modeling

Provides easy access to ready-to-use datasets and solution streams