Simulation and Statistics with Excel: An Introduction to Business Students
Autor Luis Fernando Ibarraen Limba Engleză Paperback – 15 mai 2024
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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Specificații
ISBN-13: 9781032701547
ISBN-10: 1032701544
Pagini: 290
Ilustrații: 398
Dimensiuni: 156 x 234 x 19 mm
Greutate: 0.54 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Locul publicării:Boca Raton, United States
ISBN-10: 1032701544
Pagini: 290
Ilustrații: 398
Dimensiuni: 156 x 234 x 19 mm
Greutate: 0.54 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Locul publicării:Boca Raton, United States
Public țintă
Undergraduate Advanced and Undergraduate CoreCuprins
1. Fundamentals of The Simulation Experiment
2. Introduction to Excel
3. Uncertainty and Random Numbers
4. Generation of Random Variables
5. Design of Simulation Experiments
6. Goodness-of-Fit Tests
7. Statistical Hypothesis Testing
8. Formulation of Basic Simulations
9. Proposed Problems
2. Introduction to Excel
3. Uncertainty and Random Numbers
4. Generation of Random Variables
5. Design of Simulation Experiments
6. Goodness-of-Fit Tests
7. Statistical Hypothesis Testing
8. Formulation of Basic Simulations
9. Proposed Problems
Notă biografică
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.
Descriere
Simulation and Statistics with Excel: An Introduction to Business Students uses a versatile and accessible resource, the Microsoft Excel spreadsheet, to cover the concepts essential to understanding the basic principles and approaches of statistical simulation