书籍详情
数据、模型与决策：管理科学基础
作者：（美）迪米特里斯·伯特西马斯，（美）罗伯特·M.弗罗因德著
出版社：中信出版社
出版时间：2003-07-01
ISBN：9787800734700
定价：¥65.00
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内容简介
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，重点讲述了以下内容：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，以及最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、相关过程与可读性完美结合。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。
作者简介
暂缺《数据、模型与决策：管理科学基础》作者简介
目录
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
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
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