Quantitative analysis for management

Table of Contents: Chapter 1: Introduction to Quantitative Analysis Chapter 2: Probability Concepts and Applications Chapter 3: Decision Analysis Chapter 4: Regression Models Chapter 5: Forecasting Chapter 6: Inventory Control Models Chapter 7: Linear Programming Models: Graphical and Computer Methods Chapter 8: Linear Programming Applications Chapter 9: Transportation, Assignment, and Network Models Chapter 10: Integer Programming, Goal Programming, and Nonlinear Programming Chapter 11: Project Management Chapter 12: Waiting Lines and Queuing Theory Models Chapter 13: Simulation Modeling Chapter 14: Markov Analysis Chapter 15: Statistical Quality Control Onkine Modules Modules 1: Analytic Hierarchy Process Modules 2: Dynamic Programming Modules 3: Decision Theory and the Normal Distribution Modules 4: Game Theory Modules 5: Mathematical Tools: Determinants and Matrices Modules 6: Calculus-Based Optimization Modules 7: Linear Programming: The Simplex Method Modules 8: Transportation, Assignment, and Network Algorithms Modules 9: Business Analytics

This book is a comprehensive guide to using mathematical and statistical methods to make informed business decisions. This book covers a wide range of topics, from basic mathematical concepts to advanced statistical techniques, proviing readers with the tools they need to analyze data and make data-driven decisions. This edition features special business analytics coverage, excel for all chapters with the Excel QM add-in, and a Comapnion website, which contains updates for all the examples used in the textbook.