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Однофакторный дисперсионный анализ×Двусторонний дисперсионный анализ (Two-Way ANOVA)×
ОбластьСтатистикаСтатистика
СемействоHypothesis testHypothesis test
Год появления19251925
Автор методаRonald A. FisherRonald A. Fisher
ТипParametric mean comparisonParametric factorial mean comparison
Основополагающий источникFisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478
Другие названияone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVAfactorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA
Связанные46
СводкаOne-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.Two-Way ANOVA is a parametric hypothesis test that simultaneously examines the main effects of two independent categorical factors and their interaction effect on a single continuous dependent variable. The technique was developed within the broader framework of the analysis of variance established by Ronald A. Fisher in 1925 and remains the standard approach whenever an experiment or survey includes exactly two between-subjects factors.
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ScholarGateСравнение методов: One-way ANOVA · Two-Way ANOVA. Получено 2026-06-18 из https://scholargate.app/ru/compare