Posted by **tarantoga** at Nov. 22, 2015

ISBN: 0471170828 | 1998 | EPUB | 736 pages | 38 MB

Posted by **ChrisRedfield** at July 26, 2015

Published: 1998 | ISBN: 981023242X | PDF | 455 pages | 22.64 MB

Posted by **arundhati** at Dec. 7, 2014

2009 | ISBN-10: 0470129905 | 380 pages | PDF | 6 MB

Posted by **JohnZulzman** at Sept. 23, 2014

Wiley-Interscience; 4 edition | ISBN: 0471746967 | 408 pages | PDF | July 21, 2006 | English | 15 Mb

Posted by **ChrisRedfield** at Aug. 28, 2014

Published: 2009-04-30 | ISBN: 1420091972 | PDF | 830 pages | 12 MB

Posted by **ChrisRedfield** at July 20, 2014

Published: 1998-04-23 | ISBN: 0471170828 | PDF + DJVU | 736 pages | 57 MB

Posted by **arundhati** at Nov. 13, 2013

2009 | ISBN-10: 1420091972 | 830 pages | PDF | 12,6 MB

Posted by **interes** at June 23, 2013

English | 1996 | ISBN: 0471529125 | 515 pages | Djvu | 14,4 MB

The most comprehensive book available on state-of-the-art regression methodology, complete with exercises and solutions

Posted by **insetes** at Oct. 19, 2017

2012 | 456 Pages | ISBN: 0817681515 | PDF | 4 MB

Posted by **AvaxGenius** at Oct. 19, 2017

This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction intervals that work when the error distribution is unknown, suggests bootstrap hypothesis tests that may be useful for inference after variable selection, and develops prediction regions and large sample theory for the multivariate linear regression model that has m response variables.