Simulation and Statistics with Excel: 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
Simulation and Statistics with Excel: 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
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.
Inhaltsangabe
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
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
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