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Multivariate Analysis of Ecological Data With Ade4 (Repost)

Posted By: AvaxGenius
Multivariate Analysis of Ecological Data With Ade4 (Repost)

Multivariate Analysis of Ecological Data With Ade4 by Jean Thioulouse
English | EPUB | 2018 | 334 Pages | ISBN : 1493988484 | 95.5 MB

This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems.

Parametrische Statistik: Verteilungen, maximum likelihood und GLM in R (Repost)

Posted By: AvaxGenius
Parametrische Statistik: Verteilungen, maximum likelihood und GLM in R (Repost)

Parametrische Statistik: Verteilungen, maximum likelihood und GLM in R by Carsten F. Dormann
Deutsch | PDF | 2013 | 363 Pages | ISBN : 3642347851 | 5 MB

Beispielreich baut das Buch Schritt für Schritt die statistischen Grundlagen moderner Datenanalysen für Anwender auf. Dabei wird besonderer Wert auf einen roten Faden gelegt, der alle Methoden zusammenführt. Ausgehend von den Grundlagen in beschreibender Statistik, Verteilungen und maximum likelihood, werden alle anderen Verfahren als Spezialfälle des GLM entwickelt (ANOVA, multiple Regression). An jedes Kapitel zum statistischen Verständnis schließt eines zur Umsetzung in der freien Statistiksoftware R an. Ein Kapitel zur Wissenschafts- und Forschungstheorie und eines zum Design von Experimenten und Stichprobeverfahren komplettieren das Buch.

Multivariate Analysis of Ecological Data With Ade4 (Repost)

Posted By: AvaxGenius
Multivariate Analysis of Ecological Data With Ade4 (Repost)

Multivariate Analysis of Ecological Data With Ade4 by Jean Thioulouse
English | EPUB | 2018 | 334 Pages | ISBN : 1493988484 | 95.5 MB

This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems.
These two goals may seem contradictory, as they concern two separate groups of scientists, namely statisticians and ecologists. However, statistical ecology has become a scientific discipline of its own, and the good use of multivariate data analysis methods by ecologists implies a fair knowledge of the mathematical properties of these methods.

Multivariate Analysis of Ecological Data With Ade4 (Repost)

Posted By: AvaxGenius
Multivariate Analysis of Ecological Data With Ade4 (Repost)

Multivariate Analysis of Ecological Data With Ade4 by Jean Thioulouse
English | EPUB | 2018 | 334 Pages | ISBN : 1493988484 | 95.5 MB

This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems.

Multivariate Analysis of Ecological Data With Ade4 (Repost)

Posted By: AvaxGenius
Multivariate Analysis of Ecological Data With Ade4 (Repost)

Multivariate Analysis of Ecological Data With Ade4 by Jean Thioulouse
English | PDF,EPUB | 2018 | 334 Pages | ISBN : 1493988484 | 124.1 MB

This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems. These two goals may seem contradictory, as they concern two separate groups of scientists, namely statisticians and ecologists. However, statistical ecology has become a scientific discipline of its own, and the good use of multivariate data analysis methods by ecologists implies a fair knowledge of the mathematical properties of these methods.