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Analysis of Output Data

In: Essentials of Monte Carlo Simulation

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  • Nick T. Thomopoulos

    (Illinois Institute of Technology, Stuart School of Business)

Abstract

This chapter describes the common statistical methods that are used to analyze the output data from computer models that are based on terminating and nonterminating systems. The statistical methods are essentially the same that are described in the common statistical textbooks. They include measuring the average, standard deviation, confidence interval from output data, some of the variable type and some of the proportion type. The methods described also pertain when the two or more variables are in review.

Suggested Citation

  • Nick T. Thomopoulos, 2013. "Analysis of Output Data," Springer Books, in: Essentials of Monte Carlo Simulation, edition 127, chapter 0, pages 91-112, Springer.
  • Handle: RePEc:spr:sprchp:978-1-4614-6022-0_9
    DOI: 10.1007/978-1-4614-6022-0_9
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