Posted by **advisors** at Jan. 21, 2015

2008 | 150 Pages | ISBN: 0387096159 | PDF | 4 MB

Posted by **step778** at Jan. 18, 2016

2009 | pages: 397 | ISBN: 0387096078 | PDF | 12,4 mb

Posted by **BUGSY** at May 18, 2015

English | Mar 11, 2009 | ISBN: 0387096078, 0387096086 | 397 Pages | PDF | 12 MB

This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models.

Posted by **AlenMiler** at Oct. 13, 2014

Springer; 2009 edition | March 11, 2009 | English | ISBN: 0387096078, 0387096086 | 393 pages | PDF | 8 MB

This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models.

Posted by **AlenMiler** at July 10, 2017

English | 6 July 2017 | ASIN: B073RLXQW3 | 206 Pages | AZW3 | 5.09 MB

Posted by **Underaglassmoon** at Sept. 2, 2016

Wiley | Mechanical Engineering | Aug 29 2016 | ISBN-10: 1118597966 | 400 pages | pdf | 7.42 mb

by R. Russell Rhinehart (Author)

Posted by **step778** at June 6, 2016

2003 | pages: 211 | ISBN: 0262511487 | PDF | 7,8 mb

Posted by **step778** at Dec. 22, 2015

1988 | pages: 371 | ISBN: 0471816434 | DJVU | 3,4 mb

Posted by **BUGSY** at Aug. 31, 2015

English | Sep. 12, 2003 | ISBN: 0387400818 | 241 Pages | PDF | 1 MB

Statistical Tools for Nonlinear Regression presents methods for analyzing data. It has been expanded to include binomial, multinomial and Poisson non-linear models. The examples are analyzed with the free software nls2 updated to deal with the new models included in the second edition.

Posted by **tanas.olesya** at Oct. 15, 2014

Springer; 2nd edition | September 12, 2003 | English | ISBN: 0387400818 | 241 pages | PDF | 1 MB

Statistical Tools for Nonlinear Regression presents methods for analyzing data. It has been expanded to include binomial, multinomial and Poisson non-linear models. The examples are analyzed with the free software nls2 updated to deal with the new models included in the second edition. The nls2 package is implemented in S-PLUS and R. Several additional tools are included in the package for calculating confidence regions for functions of parameters or calibration intervals, using classical methodology or bootstrap.