Data-driven stabilizations of goodness-of-fit tests

Exact null distributions of goodness-of-fit test statistics are generally challenging to obtain in tractable forms. Practitioners are therefore usually obliged to rely on asymptotic null distributions or Monte Carlo methods, either in the form of a lookup table or carried out on demand, to apply a g...

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Veröffentlicht in:	Computational statistics & data analysis 2023-03, Vol.179, p.107653, Article 107653
Hauptverfasser:	Fernández-de-Marcos, Alberto, García-Portugués, Eduardo
Format:	Artikel
Sprache:	eng
Schlagworte:	data analysis dimensions Exact distribution Goodness-of-fit Monte Carlo method p-value sample size Stabilization testing Uniformity
Online-Zugang:	Volltext
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