ABSTRACT

Drawing on the authors' two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and marketing analytics, and other areas. It also discusses a variety

chapter 1|8 pages

Introduction

chapter 2|54 pages

Properties of Statistical Distributions

chapter 3|20 pages

Important Matrix Relationships

chapter 4|46 pages

Linear Modeling and Regression

chapter 5|44 pages

Nonlinear Modeling

chapter 6|22 pages

Time Series Analysis

chapter 7|18 pages

Data Preparation and Variable Selection

chapter 8|18 pages

Model Goodness Measures

chapter 9|40 pages

Optimization Methods

chapter 10|20 pages

Miscellaneous Topics