Introduction to management science and business analytics : a modeling and case studies approach with spreadsheets
Author(s)
Bibliographic Information
Introduction to management science and business analytics : a modeling and case studies approach with spreadsheets
（The Irwin/McGraw-Hill series in operations and decision sciences）
McGraw Hill, c2023
7th ed
Available at / 1 libraries
-
No Libraries matched.
- Remove all filters.
Note
"This international student edition is for use outside of the U.S."--Cover
Includes index
Description and Table of Contents
Table of Contents
PART 1 The Essence of Management Science and Business Analytics
1 Introduction
2 Overview of the Analysis Process
PART 2 Models for Predictive Analytics
3 Classification and Prediction Models for Predictive Analytics
4 Predictive Analytics Based on Traditional Forecasting Methods
PART 3 Using Linear Programming to Perform Prescriptive Analytics
5 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 Analytics
10 Integer Programming
11 Nonlinear Programming
PART 5 Traditional Uncertainty Models for Performing Predictive or Prescriptive Analytics
12 Decision Analysis
13 Queueing Models
14 Computer Simulation: Basic Concepts
15 Computer Simulation with Analytic Solver
APPENDIXES
A Tips for Using Microsoft Excel for Modeling
B Partial Answers to Selected Problems
by "Nielsen BookData"