Written in a lecture format with solved problems at the end of each chapter, this book surveys quantitative modeling and decision analysis techniques. It serves to familiarize the reader with quantitative techniques utilized in planning and optimizing complex systems, as well as students experiencing the subject for the first time. It can be used by students of business and public administration without a background in calculus as well as engineers with significant scientific training. It allows the reader to comprehend the material through examples and problems and also demonstrates the value and shortcomings of many methods.
Quantitative Analysis: An introduction developed out of the author's experience teaching the material to students at the University of California Los Angeles, California State University, Northridge, and the University of Southern California, Los Angeles.
1. Probability & Statistics 2. Decision Analysis 3. Break-Even Analysis 4. Inventory Decision Analysis 5. Project Management (PERT/CPM) 6. Simple Regression 7. Forecasting 8. Multiple Regression 9. Linear Programming 10. Queueing 11. Simulation