本书把概率统计和管理科学这两个截然不同领域的内容,整合成管理与商务中的数量方法与模型。本书强调了管理决策的实用分析方法中至关重要的基础概念,**讲述了以下内容:不确定性的建模与评估,决策的动态特性,怎样有效地运用历史数据与有限的信息,如何模拟复杂系统,以及*优配置稀缺资源等等。
本书既提供了概念化的论述,给出院相关的实际内容。本书的教学宗旨是把概念、相关过程与可读性**结合。
尽管履盖面广,但本书还是比其他教科书更简洁。书中相关的例子,同时用练习与单元案例来加强阐述。

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
……
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