Quantitative Analysis: An IntroductionRoutledge, 2018. gada 27. apr. - 592 lappuses 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. |
Saturs
| iv | |
DECISION ANALYSIS | xxv |
Decision Analysis | xliii |
4 | lvii |
PROJECT MANAGEMENT PERTCPM | lxxiii |
SIMPLE REGRESSION | lxxxviii |
FORECASTING | 7 |
MULTIPLE REGRESSION | 20 |
LINEAR PROGRAMMING LP | 49 |
QUEUEING | 80 |
SIMULATION | 90 |
| 123 | |
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action actual additional Annual Answer application arrival calculation cell coefficient column completion computed Consider constant constraints corner point correlation cost decision decision tree dependent determine deviation distribution effect equal error terms estimated examined Example Expected Value Exponential F-statistic factorial Figure follows forecast function future given Holding increase independent variables indicates input integer inventory Invest lead Least Squares less linear matrix Method minutes month monthly moving average Node Normal Note objective optimal outcomes output past demand data path patients payoff performance period Poisson positive possible probability Problem production profit provides queueing Random Random Numbers regression sample mean significant simple Simplex Method simulation single solution solve standard deviation statistic Step stochastic Table takes Task trend typically units waiting line weeks zero