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.

How many times should one run a computational simulation?

Seri, Raffaello;Secchi, Davide
2017-01-01

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.
2017
2017
B. Edmonds, R. Meyer
Simulating Social Complexity. A Handbook
1
229
251
23
11
Esperti anonimi
Springer, Cham
GERMANIA
978-3-319-66947-2
978-3-319-66948-9
Inglese
http://www.springer.com/series/5394
Software; Computational Mechanics; Artificial Intelligence
Seri, Raffaello; Secchi, Davide
268
none
Contributo specifico in volume::Capitolo di Libro
info:eu-repo/semantics/bookPart
2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2073935
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