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book An Introduction to Management Science 13th Edition by David Anderson,Dennis Sweeney ,Thomas Williams ,Jeffrey Camm, Kipp Martin cover

An Introduction to Management Science 13th Edition by David Anderson,Dennis Sweeney ,Thomas Williams ,Jeffrey Camm, Kipp Martin

Edition 13ISBN: 978-1439043271
Chapter 7: Network Flow Models 
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Chapter 8: Project Management 
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book An Introduction to Management Science 13th Edition by David Anderson,Dennis Sweeney ,Thomas Williams ,Jeffrey Camm, Kipp Martin cover

An Introduction to Management Science 13th Edition by David Anderson,Dennis Sweeney ,Thomas Williams ,Jeffrey Camm, Kipp Martin

Edition 13ISBN: 978-1439043271
Exercise 2
Using the data obtained in Problem 13, construct a portfolio from Apple, AMD, and Oracle that matches the Information Technology S P index as closely as possible. Use the return data for the Information Technology S P index given in the following table. The model for constructing the portfolio should be similar to the one developed for Hauck Financial Services in Section 8.2. Using the data obtained in Problem 13, construct a portfolio from Apple, AMD, and Oracle that matches the Information Technology S P index as closely as possible. Use the return data for the Information Technology S P index given in the following table. The model for constructing the portfolio should be similar to the one developed for Hauck Financial Services in Section 8.2.
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An Introduction to Management Science 13th Edition by David Anderson,Dennis Sweeney ,Thomas Williams ,Jeffrey Camm, Kipp Martin
Chapter 1: Management Science 
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Chapter 2: Linear Programming: Model Formulation and Graphical Solution 
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Chapter 3: Linear Programming: Computer Solution and Sensitivity Analysis 
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Chapter 4: Linear Programming: Modeling Examples 
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Chapter 5: Integer Programming 
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Chapter 6: Transportation, Transshipment, and Assignment Problems 
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Chapter 7: Network Flow Models 
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Chapter 8: Project Management 
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Chapter 9: Multicriteria Decision Making 
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Chapter 10: Nonlinear Programming 
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Chapter 11: Probability and Statistics 
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Chapter 12: Decision Analysis 
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Chapter 13: Queuing Analysis 
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Chapter 14: Simulation 
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Chapter 15: Forecasting 
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Chapter 16: Inventory Management
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