Statistical Data Analytics - Walter W. Piegorsch

Statistical Data Analytics

Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual
Buch | Softcover
232 Seiten
2015
John Wiley & Sons Inc (Verlag)
978-1-119-03065-2 (ISBN)
20,28 inkl. MwSt
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.
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.

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.

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

Erscheint lt. Verlag 18.12.2015
Verlagsort New York
Sprache englisch
Maße 170 x 244 mm
Gewicht 358 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Weitere Themen Hardware
Mathematik / Informatik Mathematik
ISBN-10 1-119-03065-X / 111903065X
ISBN-13 978-1-119-03065-2 / 9781119030652
Zustand Neuware
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