विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| बायीसियन वर्णनात्मक सांख्यिकी (Bayesian Descriptive Statistics)× | शक्ति विश्लेषण (Power Analysis)× | |
|---|---|---|
| क्षेत्र | सांख्यिकी | सांख्यिकी |
| परिवार | Hypothesis test | Hypothesis test |
| उद्भव वर्ष≠ | 1763/1812 | 1969 (1st ed.); 1988 (seminal 2nd ed.) |
| प्रवर्तक≠ | Thomas Bayes / Pierre-Simon Laplace | Jacob Cohen |
| प्रकार≠ | Bayesian parameter estimation | Sample size and power planning |
| मौलिक स्रोत≠ | Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955 | Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832 |
| उपनाम | Bayesian summaries, posterior descriptives, Bayesian parameter estimation, credible-interval summaries | sample size calculation, power calculation, sensitivity analysis, a priori power analysis |
| संबंधित | 5 | 5 |
| सारांश≠ | Bayesian 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. | Power analysis is a planning and evaluation technique that quantifies the probability of detecting a real effect of a given magnitude at a chosen significance level. It links four quantities — sample size, effect size, significance level (alpha), and statistical power (1 minus beta) — so that researchers can determine the sample size needed before data collection or evaluate the sensitivity of a completed study. |
| ScholarGateडेटासेट ↗ |
|
|