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آمار توصیفی بیزی×تحلیل اندازه اثر×
حوزهآمارآمار
خانوادهHypothesis testHypothesis test
سال پیدایش1763/18121969 (first edition); 1988 (definitive second edition)
پدیدآورThomas Bayes / Pierre-Simon LaplaceJacob Cohen
نوعBayesian parameter estimationStandardized magnitude estimation
منبع بنیادینGelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832
نام‌های دیگرBayesian summaries, posterior descriptives, Bayesian parameter estimation, credible-interval summarieseffect magnitude estimation, standardized effect measure, practical significance analysis, ES analysis
مرتبط54
خلاصهBayesian descriptive statistics summarizes data by combining observed information with prior knowledge through Bayes' theorem, yielding posterior distributions over parameters such as the mean and variance. Instead of point estimates and p-values, results are expressed as posterior means, medians, and credible intervals that carry a direct probability interpretation.Effect size analysis quantifies the practical magnitude of a statistical result independently of sample size. Rather than asking only whether a difference or relationship is statistically significant, it asks how large it is, using standardized indices such as Cohen's d, eta-squared, omega-squared, or Pearson's r that allow direct comparison across studies and populations.
ScholarGateمجموعه‌داده
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ScholarGateمقایسهٔ روش‌ها: Bayesian descriptive statistics · Effect size analysis. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare