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 **Specialselection** at Feb. 9, 2014

English | 2006-03-24 | ISBN: 1584886021 | 424 pages | PDF | 39.7 mb

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

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

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

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

Posted by **roxul** at May 24, 2017

2013 | ISBN-10: 129202190X | 752 pages | PDF | 11 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 **naag** at April 5, 2017

English | ISBN: 9811023409 | 2016 | EPUB | 301 pages | 0.5 MB

Posted by **arundhati** at Feb. 18, 2017

English | ISBN: 9811023409 | 2016 | PDF | 301 pages | 7 MB

Posted by **Rare-1** at Oct. 16, 2016

English | ISBN: 9811023409 | 2016 | PDF | 301 pages | 6.60 MB

Posted by **tanas.olesya** at Sept. 11, 2015

English | 12 July 2008 | ISBN: 0917678419 | 320 Pages | PDF | 10 MB

This book is an outgrowth of research done by Dr. Gamt Dijsterhuis for his doctoral thesis at the University of Leiden. However, there are also contributions by several other authors, as well, including Eeke van der Burg, John Gower, Pieter Punter, Els van den Broek, and Margo Flipsen.