Details
Statistical Data Analytics
Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual1. Aufl.
15,99 € |
|
Verlag: | Wiley |
Format: | |
Veröffentl.: | 22.03.2016 |
ISBN/EAN: | 9781119043645 |
Sprache: | englisch |
Anzahl Seiten: | 232 |
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Beschreibungen
<p><b>Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery <br /></b>A comprehensive introduction to statistical methods for data mining and knowledge discovery.<b><br /></b>Extensive solutions using actual data (with sample <b>R</b> programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, astronomy, socioeconomics, marketing, advertising and finance, among many others.</p>
<p>Preface vii</p> <p>1 Data analytics and data mining 1</p> <p>2 Basic probability and statistical distributions 3</p> <p>3 Data manipulation 14</p> <p>4 Data visualization and statistical graphics 28</p> <p>5 Statistical inference 45</p> <p>6 Techniques for supervised learning: simple linear regression 65</p> <p>7 Techniques for supervised learning: multiple linear regression 90</p> <p>8 Supervised learning: generalized linear models 134</p> <p>9 Supervised learning: classification 154</p> <p>10 Techniques for unsupervised learning: dimension reduction 185</p> <p>11 Techniques for unsupervised learning: clustering and association 200</p> <p>References 216</p>
<p><strong>Walter W. Piegorsch</strong>, BIO5 Institute, University of Arizona, Tucson, AZ, USA is the current Editor-in-Chief of the journal <em>Environmetrics</em> 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 <em>Journal of the American Statistical Association</em> and on the Board of Scientific Counselors for the U.S. National Toxicology Program.
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