Quantitative Methods for Business
eBook - PDF

Quantitative Methods for Business

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Quantitative Methods for Business

About this book

You don't have to be a mathematician to maximize the power of quantitative methods. Written for the future business professional, QUANTITATIVE METHODS FOR BUSINESS, 13E makes it easy for you to understand how you can most effectively use quantitative methods to make smart, successful decisions. The book's hallmark problem-scenario approach guides you through the application of mathematical concepts and techniques. The authors use memorable real-life examples to demonstrate how and when to use the methods found in the text. Instant online access provides you with Excel® worksheets, LINGO, and the Excel add-in Analytic Solver Platform. Thoroughly revised to reflect the latest trends and practices from the field, the 13th Edition includes numerous all-new homework problems, cases, and Q.M. in Action vignettes. The chapter on simulation includes a more elaborate treatment of uncertainty by using Microsoft Excel to develop spreadsheet simulation models. The new edition also includes a more holistic approach to variability in project management.

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Yes, you can access Quantitative Methods for Business by David Anderson, Dennis Sweeney, Thomas Williams, Jeffrey Camm in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Brief Contents
  2. Contents
  3. Preface
  4. Ch 1: Introduction
  5. Ch 2: Introduction to Probability
  6. Ch 3: Probability Distributions
  7. Ch 4: Decision Analysis
  8. Ch 5: Utility and Game Theory
  9. Ch 6: Time Series Analysis and Forecasting
  10. Ch 7: Introduction to Linear Programming
  11. Ch 8: Linear Programming: Sensitivity Analysis and Interpretation of Solution
  12. Ch 9: Linear Programming Applications in Marketing, Finance, and Operations Management
  13. Ch 10: Distribution and Network Models
  14. Ch 11: Integer Linear Programming
  15. Ch 12: Advanced Optimization Applications
  16. Ch 13: Project Scheduling: PERT/CPM
  17. Ch 14: Inventory Models
  18. Ch 15: Waiting Line Models
  19. Ch 16: Simulation
  20. Ch 17: Markov Processes
  21. Appendixes
  22. Index