Statistical Data Analytics

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.

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