Simulation and Statistics with Excel
eBook - ePub

Simulation and Statistics with Excel

An Introduction to Business Students

  1. 290 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Simulation and Statistics with Excel

An Introduction to Business Students

About this book

The use of simulation techniques has increased in importance in recent history, and simulation activities are an important resource for advanced preparation for the organization and execution of events. When formal mathematics is not enough, simulation may be the only option capable of approximating solutions. Simulation and Statistics with Excel: An Introduction to Business Students offers a non-rigorous and practical tour of the simulation procedure on computers, using a versatile and accessible resource, the Microsoft Excel spreadsheet. This book covers the concepts essential to understanding the basic principles and approaches of statistical simulation, allowing for the study of complex systems. Aimed at students in business and operational research beginning to use simulation as an instrument for understanding existing or proposed processes, this book will lay solid foundations in understanding simulation experimentation.

Key Features:

  • Provides a basis to understand the approaches and principles of simulator experiments.
  • Uses a universal and easily accessible resource.
  • Introduces simple examples to teach the fundamentals of simulation.

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Yes, you can access Simulation and Statistics with Excel by Luis Fernando Ibarra in PDF and/or ePUB format, as well as other popular books in Mathematics & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. About the Author
  8. Foreword
  9. 1 Fundamentals of the Simulation Experiment
  10. 2 Introduction to Excel
  11. 3 Uncertainty and Random Numbers
  12. 4 Generation of Random Variables
  13. 5 Design of Simulation Experiments
  14. 6 Goodness-of-Fit Tests
  15. 7 Statistical Hypothesis Testing
  16. 8 Formulation of Basic Simulations
  17. 9 Proposed Problems to Solve
  18. Bibliography
  19. Index