Description
Book SynopsisTable of ContentsPART 1 The Essence of Management Science and Business Analytics1 Introduction
2 Overview of the Analysis Process
PART 2 Models for Predictive Analytics3 Classification and Prediction Models for Predictive Analytics
4 Predictive Analytics Based on Traditional Forecasting Methods
PART 3 Using Linear Programming to Perform Prescriptive Analytics5 Linear Programming: Basic Concepts
6 Linear Programming: Formulation and Applications
7 The Art of Modeling with Spreadsheets
8 What-If Analysis for Linear Programming
9 Network Optimization Problems
PART 4 Using Integer or Nonlinear Programming to Perform Prescriptive Analytics10 Integer Programming
11 Nonlinear Programming
PART 5 Traditional Uncertainty Models for Performing Predictive or Prescriptive Analytics12 Decision Analysis
13 Queueing Models
14 Computer Simulation: Basic Concepts
15 Computer Simulation with Analytic Solver
APPENDIXESA Tips for Using Microsoft Excel for Modeling
B Partial Answers to Selected Problems
