Quantitative Analysis for Management, Global Edition, 14th edition

Published by Pearson (October 22, 2024) © 2024

  • Barry Render Graduate School of Business, Rollins College
  • Ralph M. Stair Florida State University
  • Michael E. Hanna University of Houston - Clear Lake
  • Trevor S. Hale Texas A&M University
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£36.99
Instant access

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.
Products list
£36.99
Instant access

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.

Title overview

Quantitative Analysis for Management helps you develop a real-world understanding of business analytics, quantitative methods, and management science. It does this by using mathematical model building, tangible examples, and computer applications. You're first introduced to models and then you apply those models using step-by-step, how-to instructions and software.

The 14th Edition features new examples, problems and cases to give you the most current and comprehensive understanding of quantitative analytics and management science.

Table of contents

  1. Introduction to Quantitative Analysis
  2. Probability Concepts and Applications
  3. Decision Analysis
  4. Regression Models
  5. Forecasting
  6. Inventory Control Models
  7. Linear Programming Models: Graphical and Computer Methods
  8. Linear Programming Applications
  9. Transportation, Assignment, and Network Models
  10. Integer Programming, Goal Programming, and Nonlinear Programming
  11. Project Management
  12. Waiting Lines and Queuing Theory Models
  13. Simulation Modeling
  14. Markov Analysis
  15. Statistical Quality Control

APPENDICES

  1. Areas Under the Standard Normal Curve
  2. Binomial Probabilities
  3. Values of for Use in the Poisson Distribution
  4. F Distribution Values
  5. Using POM-QM for Windows
  6. Using Excel QM and Excel Add-Ins
  7. Solutions to Selected Problems
  8. Solutions to Self-Tests

ONLINE MODULES

  1. Analytic Hierarchy Process
  2. Dynamic Programming
  3. Decision Theory and the Normal Distribution
  4. Game Theory
  5. Mathematical Tools: Determinants and Matrices
  6. Calculus-Based Optimization
  7. Linear Programming: The Simplex Method
  8. Transportation, Assignment, and Network Algorithms
  9. Business Analytics

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