Measures of Difference and Significance in the Era of Computer Simulations, Meta-Analysis, and Big Data

Measures of Difference and Significance in the Era of Computer Simulations, Meta-Analysis, and Big Data

In traditional research, repeated measurements lead to a sample of results, and inferential statistics can be used to not only estimate parameters, but also to test statistical hypotheses concerning these parameters. In many cases, the standard error of the estimates decreases (asymptotically) with...

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Bibliographic Details
Main Authors: Reinout Heijungs, Patrik J.G. Henriksson, Jeroen B. Guinée
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Entropy
Subjects:
significance test
null hypothesis significance testing (NHST)
effect size
Cohen’s d
Monte Carlo simulation
bootstrapping
meta-analysis
big data
Online Access:http://www.mdpi.com/1099-4300/18/10/361

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http://www.mdpi.com/1099-4300/18/10/361

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