Statistical Data Analytics SM - Walter W. Piegorsch

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Auteur(s) : Walter W. Piegorsch

Editeur : Wiley

Langue : Anglais

Parution : 30/11/2015

Format : Moyen, de 350g à 1kg

Nombre de pages : 232

Expédition : 358

Dimensions : 24.4 x 16.9 x 1.5

ISBN : 111903065X

Résumé :

Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery?
A comprehensive introduction to statistical methods for data mining and knowledge discovery.
Extensive?solutions using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, astronomy, socioeconomics, marketing, advertising and finance, among many others.

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Biographie:

Walter W. Piegorsch, BIO5 Institute, University of Arizona, Tucson, AZ, USA is the current Editor-in-Chief of the journal Environmetrics and a previous Chairman of the American Statistical Association Section on Statistics and the Environment. Piegorsch is also an elected member of the International Statistical Institute and a Fellow of the American Statistical Association. He previously served as Joint-Editor of the Journal of the American Statistical Association and on the Board of Scientific Counselors for the U.S. National Toxicology Program....

Sommaire:

Preface vii

1 Data analytics and data mining 1

2 Basic probability and statistical distributions 3

3 Data manipulation 14

4 Data visualization and statistical graphics 28

5 Statistical inference 45

6 Techniques for supervised learning: simple linear regression 65

7 Techniques for supervised learning: multiple linear regression 90

8 Supervised learning: generalized linear models 134

9 Supervised learning: classification 154

10 Techniques for unsupervised learning: dimension reduction 185

11 Techniques for unsupervised learning: clustering and association 200

References 216