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

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

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

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

Posted by **Specialselection** at Feb. 10, 2014

English | 2001-05-01 | ISBN: 0387984542 | 659 pages | PDF | 6.6 mb

Posted by **Alexpal** at Sept. 12, 2006

Springer | ISBN 0387984542 | 2005 Year | PDF | 6 Mb | 684 Pages

Posted by **Grev27** at Dec. 25, 2016

English | ISBN: 1491963042 | 2017 | PDF/EPUB/MOBI | 82 pages | 2 MB/3 MB/5 MB

Posted by **interes** at Dec. 27, 2015

English | 2014 | ISBN: 1606499505 | 220 pages | PDF | 9 MB

Posted by **fdts** at Nov. 17, 2015

by Garrett M. Fitzmaurice, Nan M. Laird, James H. Ware

English | 2004 | ISBN: 0471214876 | 536 pages | DJVU | 3.65 MB

Posted by **arundhati** at Oct. 22, 2015

English | 2012 | ISBN: 1118097289 | 346 pages | PDF | 8,8 MB

Posted by **MoneyRich** at Dec. 4, 2014

English | August 6, 1999 | ISBN: 047131711X | 632 pages | PDF | 25 MB

A step-by-step guide to computing and graphics in regression analysis In this unique book, leading statisticians Dennis Cook and Sanford Weisberg expertly blend regression fundamentals and cutting-edge graphical techniques. They combine and up- date most of the material from their widely used earlier work, An Introduction to Regression Graphics, and Weisberg's Applied Linear Regression; incorporate the latest in statistical graphics, computing, and regression models; and wind up with a modern, fully integrated approach to one of the most important tools of data analysis. In 23 concise, easy-to-digest chapters, the authors present:?

Posted by **interes** at Aug. 1, 2013

English | 2012 | ISBN: 1118097289 | 346 pages | PDF | 8,8 MB

Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling, Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications.