Quantitative Analysis for Management, Global Edition

<div class="c-section-headers-number-list_container"> <ol> <li>Introduction to Quantitative Analysis</li> <li>Probability Concepts and Applications</li> <li>Decision Analysis</li> <li>Regression Models</li> <li>Forecasting</li> <li>Inventory Control Models</li> <li>Linear Programming Models: Graphical and Computer Methods</li> <li>Linear Programming Applications</li> <li>Transportation, Assignment, and Network Models</li> <li>Integer Programming, Goal Programming, and Nonlinear Programming</li> <li>Project Management</li> <li>Waiting Lines and Queuing Theory Models</li> <li>Simulation Modeling</li> <li>Markov Analysis</li> <li>Statistical Quality Control</li> </ol> <h3>APPENDICES</h3> <ol type="A"> <li>Areas Under the Standard Normal Curve</li> <li>Binomial Probabilities</li> <li>Values of for Use in the Poisson Distribution</li> <li>F Distribution Values</li> <li>Using POM-QM for Windows</li> <li>Using Excel QM and Excel Add-Ins</li> <li>Solutions to Selected Problems</li> <li>Solutions to Self-Tests</li> </ol> <h3>ONLINE MODULES</h3> <ol> <li>Analytic Hierarchy Process</li> <li>Dynamic Programming</li> <li>Decision Theory and the Normal Distribution</li> <li>Game Theory</li> <li>Mathematical Tools: Determinants and Matrices</li> <li>Calculus-Based Optimization</li> <li>Linear Programming: The Simplex Method</li> <li>Transportation, Assignment, and Network Algorithms</li> <li>Business Analytics</li> </ol> </div>