Posted by **Jeembo** at April 14, 2017

English | 2001 | ISBN: 158488083X | 624 Pages | PDF | 53.4 MB

Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the experimental units are measured but not included as factors in the design.

Posted by **arundhati** at Feb. 15, 2015

2011 | ISBN-10: 047174896X | 688 pages | PDF | 16 MB

Posted by **fdts** at Dec. 3, 2014

by Mohsen Pourahmadi

English | 2014 | ISBN: 1118034295 | 208 pages | PDF | 5.89 MB

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

English | ISBN: 1118034295 | 2014 | 208 pages | PDF | 6 MB

Posted by **ChrisRedfield** at May 11, 2013

Published: 2012-01-19 | ISBN: 9400723504 | PDF | 460 pages | 11 MB

Posted by **avava** at Feb. 11, 2012

Publisher: S***er | ISBN: 9400723504 | 2012 | PDF | 460 pages | 11 MB

Posted by **parvathareddyrs** at March 21, 2009

Sage Publications | 1983-09-01 | ISBN: 0803920458 | 96 Pages | PDF | 1 mb

Building directly on confirmatory factor analysis, Long presents a measurement model (drawn from psychometrics) and a structural equation model (drawn from econometrics) that, together, comprise the LISREL covariance structure model.

Posted by **AlenMiler** at Oct. 15, 2014

Cambridge University Press; 1 edition | October 22, 2007 | English | ISBN: 052186562X | 304 pages | PDF | 3 MB

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors.

Posted by **Veslefrikk** at July 29, 2014

Publisher: S***er | ISBN: 9400723504 | 2012 | PDF | 460 pages | 11 MB

Posted by **parvathareddyrs** at March 21, 2009

Sage Publications | 1978-11-01 | ISBN: 0803911645 | 91 pages | PDF | 1.5 mb

This book presents a technique for analyzing the effects of variables, groups, and treatments in both experimental and observational settings. Analysis of Covariance considers not only the main effects of one variable upon another, but also (like analysis of variance) the effects of groups of cases.