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 **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 **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.

Posted by **angus77** at May 18, 2014

English | PDF | Large Books Collection | 3.4 GB

Posted by **hill0** at March 23, 2017

English | 23 Feb. 2017 | ISBN: 1498724485 | 582 Pages | PDF | 91.04 MB

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data.

Posted by **hill0** at March 15, 2017

English | 20 Feb. 2017 | ISBN: 3319497502 | 404 Pages | PDF | 31.42 MB

This book introduces readers to the fundamentals of creating presentation graphics using R, based on 100 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R’s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming.