e/Multiple comparisons

Information
has gloss	eng: In statistics, the multiple comparisons, or multiple testing, problem occurs when one considers a set, or family, of statistical inferences simultaneously . Errors in inference, including confidence intervals that fail to include their corresponding population parameters, or hypothesis tests that incorrectly reject the null hypothesis, are more likely to occur when one considers the family as a whole. Several statistical techniques have been developed to prevent this from happening, allowing significance levels for single and multiple comparisons to be directly compared. These techniques generally require a stronger level of evidence to be observed in order for an individual comparison to be deemed "significant", so as to compensate for the number of inferences being made.
lexicalization	eng: multiple comparisons
lexicalization	eng: Multiple Testing Correction
subclass of	(noun) the act of examining resemblances; "they made a comparison of noise levels"; "the fractions selected for comparison must require pupils to consider both numerator and denominator" comparing, comparison
has instance	e/Contrast (statistics)
has instance	e/Experimentwise error rate
has instance	e/Newman Keuls method
has instance	e/Scheffe test

Meaning
German
has gloss	deu: Die Alphafehler-Kumulierung, häufig auch α-Fehler-Inflation, bezeichnet in der Statistik die globale Erhöhung der Alpha-Fehler-Wahrscheinlichkeit (Fehler 1. Art) durch multiples Testen in derselben Grundgesamtheit.
lexicalization	deu: Alphafehler-Kumulierung
Korean
has gloss	kor: 다중 비교(multiple comparisons)는 실험 조건의 평균들을 대상으로 여러 번 비교를 수행하는 것이다. 전반적 검증에서 영가설이 기각되는 경우 어떤 실험조건들이 서로 통계적으로 유의미한 평균 차이를 가지는지, 또는 평균들 사이에 특정한 양상이 있는지를 알고자 할 때 다중 비교를 한다.
lexicalization	kor: 다중 비교

Media
media:img	Quantile meta test.svg