CHAPTER 1 DECISION ANALYSIS
1.1 A decision tree model and its analysis
1.2 summary of the general method of decision analysis
1.3 another decision the model and its analysis
1.4 the need for a systematic theory of probabilty
1.5 further issues and concluding remarks on decition analysis
1.6 case modules
kendall crab and lobstr,inc
buying a house
the acquisition of DSOFT
national realty investment corporation
1.7 exercises
CHAPTER 2 FUNDANENTALS OF DISCRETE PROBABILITY
2.1 outcomes,probabilities and events
2.2 the laws of probability
2.3 working with probabilties and probabillty tables
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CHAPTER 3 CONTINUOUS PROBABILITY DISTRIBUTIONS ANO THELR APPLICATIONS
CHAPTER 4 STATLSTICAL SAMPLING
CHAPTER 5 SIMULATION MODELING:CONCEPTS AND PRACTICE
CHAPTER 6 REGPESSION MODELS:CONCEPTS AND PRACTICE
CHAPTER 7 LINEAR OPTLMIZATION
CHAPTER 8 NONLINEAR OPTIMIZATION
CHAPTER 9 DISCRETE OPTIMIZATION
CHAPTER 10 INTEGRATION IN THE AT OF KECISION MODELING
APPENDIX
REFERENCES
INODEX
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