Posted by **nebulae** at July 21, 2017

English | ISBN: 0470711175 | 2001 | 354 pages | PDF | 41 MB

Posted by **AvaxGenius** at May 14, 2017

English | PDF | 1991 | 646 Pages | ISBN : 1461269601 | 44 MB

An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory.

Posted by **roxul** at July 13, 2014

English | ISBN: 0470711175 | 2001 | 354 pages | PDF | 41 MB

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

English | ISBN: 1292024941, 1299960308 | 2014 | 776 pages | PDF | 8 MB

Posted by **Underaglassmoon** at March 27, 2015

Springer | Applied Mathematics | Feb. 27 2015 | ISBN-10: 3662451700 | 581 pages | pdf | 11.83 mb

by Wolfgang Karl Härdle (Author), Léopold Simar (Author)

Posted by **nebulae** at May 5, 2014

English | ISBN: 1292024941, 1299960308 | 2014 | 776 pages | PDF | 8 MB

Posted by **AvaxGenius** at May 3, 2018

English | EPUB | 2016 | 301 Pages | ISBN : 9811023409 | 3.29 MB

This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis.

Posted by **insetes** at Jan. 5, 2018

2013 | 336 Pages | ISBN: 3642329136 | PDF | 3 MB

Posted by **insetes** at Dec. 26, 2017

2008 | 580 Pages | ISBN: 0470164972 | DJVU | 6 MB

Posted by **nebulae** at July 11, 2017

2014 | ISBN-10: 1439890218 | 561 pages | PDF | 26 MB