Resampling R

Grundlagen der Datenanalyse mit R: Eine anwendungsorientierte Einführung, 2 Auflage (repost)

Grundlagen der Datenanalyse mit R: Eine anwendungsorientierte Einführung, 2 Auflage by Daniel Wollschläger
German | 2012 | ISBN-10: 3642257992 | PDF | 536 pages | 5 MB

Das Buch liefert eine Einführung in die Datenauswertung mit der frei erhältlichen Statistiksoftware R. Die wichtigsten statistischen Verfahren in den Human- und Sozialwissenschaften werden ausführlich an Beispielen erläutert und mit Diagrammen illustriert.
Grundlagen der Datenanalyse mit R: Eine anwendungsorientierte Einführung (2. Auflage) (repost)

Daniel Wollschläger, "Grundlagen der Datenanalyse mit R: Eine anwendungsorientierte Einführung (2. Auflage)"
2012 | ISBN-10: 3642257992 | PDF | 536 pages | 5 MB
Permutation Tests for Stochastic Ordering and ANOVA: Theory and Applications with R

Permutation Tests for Stochastic Ordering and ANOVA: Theory and Applications with R By Aldo Solari, Luigi Salmaso, Fortunato Pesarin, Dario Basso (auth.)
2009 | 218 Pages | ISBN: 0387859551 | PDF | 7 MB
Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R (Repost)

Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R: Order-Restricted Analysis of Microarray Data by Dan Lin
English | PDF(True) | 2013 | 285 Pages | ISBN : 3642240062 | 10.3 MB

This book focuses on the analysis of dose-response microarray data in pharmaceutical setting, the goal being to cover this important topic for early drug development and to provide user-friendly R packages that can be used to analyze dose-response microarray data. It is intended for biostatisticians and bioinformaticians in the pharmaceutical industry, biologists, and biostatistics/bioinformatics graduate students.

Time Series Analysis and Its Applications: With R Examples (2nd edition) [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Nov. 15, 2013
Time Series Analysis and Its Applications: With R Examples (2nd edition) [Repost]

Robert H. Shumway, ‎David S. Stoffer - Time Series Analysis and Its Applications: With R Examples (2nd edition)
Published: 2006-05-25 | ISBN: 0387293175 | PDF | 575 pages | 5 MB

Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R  eBooks & eLearning

Posted by AvaxGenius at Jan. 30, 2022
Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R

Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R: Order-Restricted Analysis of Microarray Data by Dan Lin
English | PDF(True) | 2013 | 285 Pages | ISBN : 3642240062 | 10.3 MB

This book focuses on the analysis of dose-response microarray data in pharmaceutical setting, the goal being to cover this important topic for early drug development and to provide user-friendly R packages that can be used to analyze dose-response microarray data. It is intended for biostatisticians and bioinformaticians in the pharmaceutical industry, biologists, and biostatistics/bioinformatics graduate students.

Statistical Learning with Math and R: 100 Exercises for Building Logic  eBooks & eLearning

Posted by roxul at Oct. 19, 2020
Statistical Learning with Math and R: 100 Exercises for Building Logic

Joe Suzuki, "Statistical Learning with Math and R: 100 Exercises for Building Logic"
English | ISBN: 9811575673 | 2020 | 228 pages | PDF | 4 MB
Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R

Dan Lin, Ziv Shkedy, Daniel Yekutieli, "Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R: Order-Restricted Analysis of Microarray Data"
English | 2012 | ISBN: 3642240062 | EPUB | pages: 282 | 253.7 mb

Time Series Analysis and Its Applications: With R Examples Ed 2  eBooks & eLearning

Posted by arundhati at Nov. 25, 2019
Time Series Analysis and Its Applications: With R Examples  Ed 2

Robert H. Shumway, "Time Series Analysis and Its Applications: With R Examples Ed 2"
English | ISBN: 0387293175 | 2006 | 575 pages | PDF | 7 MB

An Introduction to Statistical Learning: with Applications in R (Repost)  eBooks & eLearning

Posted by advisors at Sept. 3, 2014
An Introduction to Statistical Learning: with Applications in R (Repost)

An Introduction to Statistical Learning: with Applications in R By Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
2014 | 426 Pages | ISBN: 1461471370 | PDF | 11 MB