Simulation and Statistics with Excel

Regular price €74.99
Quantity:
Ships in 10-20 days
Delivery/Collection within 10-20 working days
Shipping & Delivery
A01=Luis Fernando Ibarra
Author_Luis Fernando Ibarra
Category=KCH
Category=PBT
Category=UFC
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
event process analysis
Excel
goodness of fit assessment
hypothesis testing methods
operational research
random variable generation
simulation experiment design in business
simulation fundamentals
simulation models
systems analaysis
uncertainty modelling

Product details

  • ISBN 9781032701547
  • Weight: 1340g
  • Dimensions: 156 x 234mm
  • Publication Date: 15 May 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns

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.

Luis Fernando Ibarra is a Systems Engineer at the Universidad de Los Andes, and an Emeritus Professor at the National Experimental University of Táchira. He obtained his M.Sc. in Industrial Engineering from the Georgia Institute of Technology, and has a diploma in Data Mining from the Central University of Venezuela. In addition, he has an academic management degree (D.M.) in Organizational Leadership from the University of Phoenix.

More from this author