Linear Models With R Faraway

Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science) 2nd Edition (Instructor Resources)


Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science) 2nd Edition (Instructor Resources) by Julian J. Faraway
English | 2014 | ISBN-13: 978-1439887332 | Instructor Resources | PDF | 32.3 MB

Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)  eBooks & eLearning

Posted by insetes at Nov. 13, 2020
Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)

Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science) By Julian J. Faraway
2004 | 255 Pages | ISBN: 1584884258 | PDF | 6 MB

Linear Models with R [Print Replica]  eBooks & eLearning

Posted by AlenMiler at March 25, 2018
Linear Models with R [Print Replica]

Linear Models with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) by Julian J. Faraway
English | 14 Aug. 2014 | ISBN: 1439887330 | 286 Pages | PDF | 42 MB

Linear Models with Python  eBooks & eLearning

Posted by interes at June 19, 2021
Linear Models with Python

Linear Models with Python by Julian J. Faraway
English | Dec 28, 2020 | ISBN: 1138483958 | 308 pages | PDF | 4 MB
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition

Julian J. Faraway, "Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition"
English | ISBN: 149872096X | 2017 | 413 pages | PDF | 43 MB
Extending the Linear Model with R: Generalized Linear, Mixed Effects (Instructor Resources)


Extending the Linear Model with R: Generalized Linear, Mixed Effects (Instructor Resources) by Julian J. Faraway
English | 2016 | ISBN-13: 978-1498720960 | Instructor Resources | PDF | 9.4 MB

Pack Language (Langage) R  eBooks & eLearning

Posted by TimMa at June 1, 2019
Pack Language (Langage) R

Pack Language (Langage) R
English/Français | EPUB/MOBI/PDF | 101 books | 1.8 GB

R is a programming language and free 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. Polls, data mining surveys, and studies of scholarly literature databases show substantial increases in popularity in recent years as of May 2019, R ranks 21st in the TIOBE index, a measure of popularity of programming languages. …