विधियों की तुलना करें

	बेयसियन रिग्रेशन	एक-तरफ़ा विचरण विश्लेषण
क्षेत्र	बायेसियन	सांख्यिकी
परिवार	Bayesian methods	Hypothesis test
उद्भव वर्ष	—	1925
प्रवर्तक	—	Ronald A. Fisher
प्रकार	Bayesian linear model	Parametric mean comparison
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	Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd.
उपनाम	bayesian linear regression, probabilistic regression, bayesian regresyon	one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
संबंधित	2	4
सारांश	Bayesian regression is a probabilistic version of linear regression that treats the model parameters as uncertain quantities. Instead of returning a single best-fit estimate, it combines prior knowledge with the observed data to produce a full posterior probability distribution for each parameter, from which credible intervals and predictions are read off.	One-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.