Quantitative methods For Business
10th Edition 
By-Anderson, Sweeney, Williams

 

Salient Features:

The purpose of this tenth edition, is to provide students with a conceptual understanding of the role that quantitative methods play in the decision making process. The text describes the many quantitative methods developed over the years explains how they work, and shows how the decision maker can apply and interpret them.
This book is applications oriented and uses problem scenario approach. In each chapter a problem is described in conjunction with the quantitative procedure being introduced. Development of the quantitative technique or model includes applying it to the problem to generate a solution or recommendation. This approach can help to motivate the student by demonstrating not only how the procedure works, but also how it contributes to the decision making process.
The mathematical prerequisite for this text is a course in algebra. The two chapters on probability and probability distributions will provide the necessary background for the use of probability in subsequent chapters.

Table Of Contents:

Chapter 1: Introduction
Chapter 2: Introduction to Probability
Chapter 3: Probability Distributions
Chapter 4: Decision Analysis
Chapter 5: Utility and Game Theory
Chapter 6: Forecasting
Chapter 7: Introduction to Linear Programming
Chapter 8: Linear Programming: Sensitivity Analysis and Interpretation of Solution
Chapter 9: Linear Programming Applications
Chapter 10: Transportation, Assignment, and Transshipment Problems
Chapter 11: Integer Linear Programming
Chapter 12: Project Scheduling: PERT/CPM
Chapter 13: Inventory Models
Chapter 14: Waiting Line Models
Chapter 15: Simulation
Chapter 16: Markov Processes
Chapter 17: Multicriteria Decisions
Appendix A: Binomial Probabilities
Appendix B: Poisson Probabilities
Appendix C: Areas for the standard Normal Distribution
Appendix D: Reerences and Bibliography
Appendix E: Self test and Answers to Even-Numbered Problems