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Unit 12: Design and Evaluation of Simulation Experiments (II)
Unit 12: Design and Evaluation of Simulation Notes
Experiments (II)
CONTENTS
Objectives
Introduction
12.1 Experimental Layout
12.2 Validation
12.2.1 Qualitative and Quantitative Simulation
12.2.2 Explanation and Prediction
12.2.3 Types of Validity
12.3 Analysis for the Design of Simulation Experiments
12.3.1 The Standard Statistical Framework
12.3.2 The Asymptotic Parameters for a Function of a Markov Chain
12.3.3 Birth-and-Death Examples
12.3.4 Diffusion Processes
12.3.5 Stochastic-Process Limits
12.4 RBM Approximations
12.5 Summary
12.6 Keywords
12.7 Self Assessment
12.8 Review Questions
12.9 Further Readings
Objectives
After studying this unit, you will be able to:
Describe Experimental Layout
Discuss simulation validation
Introduction
Careful planning, or designing, of simulation experiments is generally a great help, saving time
and effort by providing efficient ways to estimate the effects of changes in the model's inputs on
its outputs. Validation is concerned with determining whether the conceptual simulation model
itself is accurate representation of the system under study.
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