11.1 New Problems and New Opportunities
274.12 Questions
21.2 What is a Model?
285.1 Prediction of Categorical Variables
31.3 A Matter of Style
295.2 An Introduction Based On A Marketing
42.1 Old Friend and Linear Models
30Problem
52.2 Computational Aspects
31 5.3 Extension To Several Categories
62.3 Likelihood
325.4 Classification Via Linear Regression
7 2.4 Logistic Regression and GLM
335.5 Discriminant Analysis
82.5 Questions
345.6 Some Nonparametric Methods
93.1 Matching the conceptual frame and
355.7 Classification Trees
10real life
365.8 Other TOPICS
113.2 A Simple Prototype Problem
375.9 Combination Of Classifiers
123.3 If we knew f(x)…..
385.10 Case Studies
133.4 But As We Don’t Know f(x)
395.11 Questions
143.5 Methods For Model Selection
406.1 Cluster Analysis
153.6 Reduction Of Dimensions And Selection Of
416.2 Associations Among Variables
16Most appropriate Model
426.3 Case Study: Web Usage Mining
173.7 Questions
436.4 Questions
184.1 Non-parametric Estimation: Why?
44A–B–C
194.2 Logical Regression
45Optimism, Conflicts, and Trade-offs
204.3 The Curse Of Dimensionality
46Prediction of Quantitative Analysis and Variables
214.4 Splines
47Methods of Classification
224.6 Projection Pursuit
48Methods Of Internal Analysis
234.7 Inferential Aspects
49Appendix A: Symbols and acronyms
244.8 Regression Trees
50Glossary
254.9 Neural Networks
51Index
264.11 Summary
