Nonlinear Regression With R

Nonlinear Regression with R (Use R!)  eBooks & eLearning

Posted by advisors at Jan. 21, 2015
Nonlinear Regression with R (Use R!)

Nonlinear Regression with R (Use R!) By Christian Ritz, Jens Carl Streibig
2008 | 150 Pages | ISBN: 0387096159 | PDF | 4 MB

A Modern Approach to Regression with R (Repost)  eBooks & eLearning

Posted by step778 at Jan. 18, 2016
A Modern Approach to Regression with R (Repost)

Simon Sheather, "A Modern Approach to Regression with R"
2009 | pages: 397 | ISBN: 0387096078 | PDF | 12,4 mb

A Modern Approach to Regression with R by Simon Sheather [Repost]  eBooks & eLearning

Posted by BUGSY at May 18, 2015
A Modern Approach to Regression with R by Simon Sheather [Repost]

A Modern Approach to Regression with R (Springer Texts in Statistics) by Simon Sheather
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.

A Modern Approach to Regression with R (Springer Texts in Statistics)  eBooks & eLearning

Posted by AlenMiler at Oct. 13, 2014
A Modern Approach to Regression with R (Springer Texts in Statistics)

A Modern Approach to Regression with R (Springer Texts in Statistics) by Simon Sheather
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.

Nonlinear Regression Modeling for Engineering Applications  eBooks & eLearning

Posted by Underaglassmoon at Sept. 2, 2016
Nonlinear Regression Modeling for Engineering Applications

Nonlinear Regression Modeling for Engineering Applications: Modeling, Model Validation, and Enabling Design of Experiments
Wiley | Mechanical Engineering | Aug 29 2016 | ISBN-10: 1118597966 | 400 pages | pdf | 7.42 mb

by R. Russell Rhinehart (Author)
Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples by Sylvie Huet [Repost]

Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples (Springer Series in Statistics) by Sylvie Huet
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.
Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples by Sylvie Huet

Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples (Springer Series in Statistics) by Sylvie Huet
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.

Springer Books Cell Biology Neuroscience  eBooks & eLearning

Posted by angus77 at May 18, 2014
Springer Books Cell Biology Neuroscience

Springer Books Cell Biology Neuroscience
English | PDF | Large Books Collection | 3.4 GB
Genre: Biology

Learning Data Analysis with R (2017)  eBooks & eLearning

Posted by naag at Feb. 28, 2017
Learning Data Analysis with R (2017)

Learning Data Analysis with R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6 Hours | 4.04 GB
Genre: eLearning | Language: English

R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

Data Visualisation with R: 100 Examples  eBooks & eLearning

Posted by hill0 at Feb. 27, 2017
Data Visualisation with R: 100 Examples

Data Visualisation with R: 100 Examples by Thomas Rahlf
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,