Truncating the likelihood allows outlier exclusion without overestimating the evidence in the Bayes factor t test.

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Publication Details

Journal
Psychological Methods
Published
2025-08-28
DOI
https://doi.org/10.1037/met0000782
Citations
1
Primary Topic
Advanced Statistical Methods and Models
Type
article
Field-Weighted Citation Impact
2.63

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article

Truncating the likelihood allows outlier exclusion without overestimating the evidence in the Bayes factor t test.

Frantis̆ek Bartos̆, Eric‐Jan Wagenmakers, Henrik R. Godmann
1 citations
Psychological Methods
Advanced Statistical Methods and Models
2.63
article

Truncating the likelihood allows outlier exclusion without overestimating the evidence in the Bayes factor t test.

Frantis̆ek Bartos̆, Eric‐Jan Wagenmakers, Henrik R. Godmann
article en
1 citations

Abstract

No abstract available for this paper.
Psychological Methods
University of Amsterdam (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Reduced inequalities
Openalex Percentile: Top 9%
Advanced Statistical Methods and Models
2.63
DOIOpen Access PDFOpenAlex
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Truncating the likelihood allows outlier exclusion without overestimating the evidence in the Bayes factor t test. — Frantis̆ek Bartos̆, Eric‐Jan Wagenmakers, et al. · Psychological Methods (2025) | TGRS Research Map | TGRS