Quantitative Analysis for Management (10th Edition)
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品牌: Barry RenderRalph M. StairMichael E. Hanna
基本信息出版社:Prentice Hall; 10 (2008年3月10日)精装:768页正文语种:英语ISBN:0136036252条形码:9780136036258商品尺寸:25.8 x 20.5 x 3.5 cm商品重量:1.5 KgASIN:0136036252商品描述内容简介KEY BENEFIT: Easy to understand-even for learners with limited math backgrounds, this book uses a modeling approach to provide thorough coverage of the basic techniques in quantitative methods and focuses on the managerial applications of these techniques. An interesting and reader friendly writing style makes for a clear presentation, complete with all the necessary assumptions and mathematical details.
KEY TOPICS: Chapter topics include probability concepts and applications, decision models and decision trees, regression models, forecasting, inventory control models, linear programming modeling applications and computer analyses, network models, project management, simulation modeling, and more.
MARKET: For an introduction to quantitative analysis, quantitative management, operations research, or management science-especially for those individuals preparing for work in agricultural economics and health care fields.
目录CHAPTER 1 Introduction to Quantitative Analysis 1
CHAPTER 2 Probability Concepts and Applications 23
CHAPTER 3 Decision Analysis 69
CHAPTER 4 Regression Models 117
CHAPTER 5 Forecasting 157
CHAPTER 6 Inventory Control Models 199
CHAPTER 7 Linear Programming Models: Graphical and Computer Methods 255
CHAPTER 8 Linear Programming Modeling Applications:With Computer Analyses in Excel and QM for Windows 311
CHAPTER 9 Linear Programming: The Simplex Method 351
CHAPTER 10 Transportation and Assignment Models 409
CHAPTER 11 Integer Programming, Goal Programming, and Nonlinear Programming 469
CHAPTER 12 Network Models 515
CHAPTER 13 Project Management 543
CHAPTER 14 Waiting Lines and Queuing Theory Models 585
CHAPTER 15 Simulation Modeling 625
CHAPTER 16 Markov Analysis 669
CHAPTER 17 Statistical Quality Control 699
CD-ROM MODULES
1 Analytic Hierarchy Process M1-1
2 Dynamic Programming M2-1
3 Decision Theory and the Normal
Distribution M3-1
4 Game Theory M4-1
5 Mathematical Tools: Determinants
and Matrices M5-1
6 Calculus-Based Optimization M6-1