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تحلیل واریانس (ANOVA)×رگرسیون لجستیک×
حوزهآمار پژوهشآمار پژوهش
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش19251958
پدیدآورRonald A. FisherDavid Roxbee Cox
نوعMethodMethod
منبع بنیادینFisher, R. A. (1925). Statistical Methods for Research Workers. Oliver and Boyd. link ↗Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242. DOI ↗
نام‌های دیگرANOVA, F-testlogit model, binomial logistic regression, LR
مرتبط43
خلاصهANOVA is a parametric statistical method developed by Ronald A. Fisher in 1925 that tests whether means differ significantly across three or more independent groups. By partitioning total variance into between-group and within-group components, ANOVA determines whether observed differences are likely due to treatment effects or random variation, making it fundamental to comparative research across medicine, psychology, agriculture, and engineering.Logistic regression is a statistical method for modeling the probability of a binary outcome (disease present/absent, success/failure) as a function of continuous and categorical predictors. Developed by David Roxbee Cox (1958), it solves the problem of predicting categorical outcomes by applying a logistic transformation to constrain predictions to the [0,1] probability interval, enabling accurate risk stratification, diagnostic prediction, and causal inference in epidemiology, medicine, and social science.
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ScholarGateمقایسهٔ روش‌ها: Analysis of Variance (ANOVA) · Logistic Regression. بازیابی‌شده در 2026-06-19 از https://scholargate.app/fa/compare