Draper And Smith 1998. Applied Regression Analysis

Applied Regression Analysis  

Posted by tarantoga at Nov. 22, 2015
Applied Regression Analysis

Norman R. Draper, Harry Smith, "Applied Regression Analysis, 3rd Edition"
ISBN: 0471170828 | 1998 | EPUB | 736 pages | 38 MB

Applied Regression Analysis (3rd edition)  

Posted by ChrisRedfield at July 20, 2014
Applied Regression Analysis (3rd edition)

Norman R. Draper, Harry Smith - Applied Regression Analysis (3rd edition)
Published: 1998-04-23 | ISBN: 0471170828 | PDF + DJVU | 736 pages | 57 MB

Applied Regression Analysis: A Research Tool, (2nd Edition) (Repost)  

Posted by Specialselection at Feb. 10, 2014
Applied Regression Analysis: A Research Tool, (2nd Edition) (Repost)

John O. Rawlings, Sastry G. Pantula, David A. Dickey, "Applied Regression Analysis: A Research Tool, (2nd Edition)"
English | 2001-05-01 | ISBN: 0387984542 | 659 pages | PDF | 6.6 mb
John O. Rawlings, et al, «Applied Regression Analysis: A Research Tool» (2nd edition)
John O. Rawlings, et al, «Applied Regression Analysis: A Research Tool» (2nd edition)
Springer | ISBN 0387984542 | 2005 Year | PDF | 6 Mb | 684 Pages

Applied Regression Modeling  

Posted by interes at Aug. 1, 2013
Applied Regression Modeling

Applied Regression Modeling by Iain Pardoe
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.
Applied Multivariate Analysis (Springer Texts in Statistics) by Neil H. Timm [Repost]

Applied Multivariate Analysis (Springer Texts in Statistics) by Neil H. Timm
English | June 19, 2002 | ISBN: 0387953477 | 718 Pages | PDF | 3 MB

This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques.

Regression Analysis and Linear Models: Concepts, Applications, and Implementation  eBooks & eLearning

Posted by arundhati at Aug. 31, 2016
Regression Analysis and Linear Models: Concepts, Applications, and Implementation

Richard B. Darlington, Andrew F. Hayes, "Regression Analysis and Linear Models: Concepts, Applications, and Implementation"
2016 | ISBN-10: 1462521134 | 661 pages | PDF | 8 MB
Applied Survival Analysis: Regression Modeling of Time to Event Data, 2nd Edition (repost)

Applied Survival Analysis: Regression Modeling of Time to Event Data, 2nd Edition by David W. Hosmer Jr., Stanley Lemeshow, Susanne May
English | 2008 | ISBN: 0471754994 | 416 pages | PDF | 18.5 MB

Applied Regression Including Computing and Graphics  

Posted by MoneyRich at Dec. 4, 2014
Applied Regression Including Computing and Graphics

Applied Regression Including Computing and Graphics by Sanford Weisberg
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:?
Regression Analysis: Concepts and Applications (repost)

Regression Analysis: Concepts and Applications by Franklin A. Graybill, Hariharan K. Iyer
English | ISBN: 0534198694 | 1994 | scan PDF | 650 pages | 24 mb

Regression Analysis: Concepts and Applications focuses on thinking clearly about and solving practical statistical problems. The approach leads from the theoretical (meaning conceptual not mathematical) to the applied, the idea being that samples (using theory) tell the investigator what needs to be known about populations (for application).