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How Many Times Should One Run a Computational Simulation?

  • Raffaello Seri
  • , Davide Secchi
    • University of Insubria

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

    Abstract

    This chapter is an attempt to answer the question “how many runs of a computational simulation should one do,” and it gives an answer by means of statistical analysis. After defining the nature of the problem and which types of simulation are mostly affected by it, the article introduces statistical power analysis as a way to determine the appropriate number of runs. Two examples are then produced using results from an agent-based model. The reader is then guided through the application of this statistical technique and exposed to its limits and potentials.
    Original languageEnglish
    Title of host publicationSimulating Social Complexity : A Handbook
    EditorsBruce Edmonds, Ruth Meyer
    Place of PublicationHeidelberg
    PublisherSpringer
    Publication date2017
    EditionSecond
    Pages229-251
    ISBN (Print)978-3-319-66947-2
    ISBN (Electronic)978-3-319-66948-9
    DOIs
    Publication statusPublished - 2017
    SeriesUnderstanding Complex Systems
    ISSN1860-0832

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