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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Statistika Përshkruese Bayesiane×Analiza e madhësisë së efektit×
FushaStatistikëStatistikë
FamiljaHypothesis testHypothesis test
Viti i origjinës1763/18121969 (first edition); 1988 (definitive second edition)
KrijuesiThomas Bayes / Pierre-Simon LaplaceJacob Cohen
LlojiBayesian parameter estimationStandardized magnitude estimation
Burimi themeluesGelman, 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
Emërtime të tjeraBayesian summaries, posterior descriptives, Bayesian parameter estimation, credible-interval summarieseffect magnitude estimation, standardized effect measure, practical significance analysis, ES analysis
Të lidhura54
PërmbledhjaBayesian 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.
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ScholarGateKrahasoni metodat: Bayesian descriptive statistics · Effect size analysis. Marrë më 2026-06-15 nga https://scholargate.app/sq/compare