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Linganisha mbinu

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Usahihishaji wa Bonferroni×Marekebisho ya Holm (Holm-Bonferroni)×
NyanjaTakwimuTakwimu
FamiliaHypothesis testHypothesis test
Mwaka wa asili19611979
MwanzilishiCarlo Emilio Bonferroni; formalized for multiple comparisons by Olive Jean DunnSture Holm
AinaFamily-wise error rate (FWER) correctionFamily-wise error rate (FWER) correction
Chanzo asiliaBonferroni, C. E. (1936). Teoria statistica delle classi e calcolo delle probabilità. Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commerciali di Firenze, 8, 3–62. link ↗Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6(2), 65–70. link ↗
Majina mbadalaBonferroni adjustment, Bonferroni method, Bonferroni procedure, FWER correctionHolm-Bonferroni method, Holm step-down procedure, Holm's sequentially rejective procedure, Holm düzeltmesi
Zinazohusiana53
MuhtasariThe Bonferroni correction is a conservative, universally applicable method for controlling the family-wise error rate (FWER) when conducting multiple simultaneous hypothesis tests. Grounded in Bonferroni's 1936 probability inequality and formalized for multiple comparisons by Olive Jean Dunn in 1961, the procedure divides the target significance level α by the number of tests m, ensuring that the probability of making even one false rejection across the entire family of tests does not exceed α.The Holm correction, introduced by Sture Holm in 1979, is a step-down multiple-comparison procedure that controls the family-wise error rate (FWER) at level α while rejecting at least as many hypotheses as the classical Bonferroni correction. It orders the observed p-values from smallest to largest and compares each against a threshold that starts strict and relaxes as testing proceeds, making it uniformly more powerful than Bonferroni at the same level of error control.
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ScholarGateLinganisha mbinu: Bonferroni Correction · Holm Correction. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare