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Quantitative Analysis for Management

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ISBN-10: 0131857029

ISBN-13: 9780131857025

Edition: 9th 2006 (Revised)

Authors: Barry Render, Ralph M. Stair, Michael E. Hanna

List price: $171.80
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Description:

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.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.For an introduction…    
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Book details

List price: $171.80
Edition: 9th
Copyright year: 2006
Publisher: Pearson Education
Binding: Mixed Media
Pages: 752
Size: 8.19" wide x 10.35" long x 1.30" tall
Weight: 3.388
Language: English

Ralph Stair received a B.S. in Chemical Engineering from Purdue University, an M.B.A. from Tulane University, and a Ph.D. from the University of Oregon. He has taught at the University of Oregon, the University of Washington, the University of New Orleans, and Florida State University. He has taught several courses through Florida State University's Study Abroad Program in London. Throughout the years, Dr. Stair has focused his teaching and research on information systems. He has endowed the Ralph Stair Prize in Innovative Education at Florida State University. He also provided funding for the Stair-Harkrider scholarship and the Ralph Stair Prize in Academic Improvement at his high school…    

Introduction to Quantitative Analysis
Probability Concepts and Applications
Decision Models and Decision Trees
Regression Models
Forecasting
Inventory Control Models
Linear Programming Models: Graphical and Computer Methods
Linear Programming Modeling Applications and Computer Analyses
Linear Programming: The Simplex Method
Transportation and Assignment Models
Integer Programming, Goal Programming, and Nonlinear Programming
Network Models
Project Management
Waiting Lines and Queuing Theory Models
Simulation Modeling
Markov Analysis
Statistical Quality Control