השוואת שיטות

	רגרסיה בייסיאנית	ניתוח שונות חד-כיווני
תחום	בייסיאני	סטטיסטיקה
משפחה	Bayesian methods	Hypothesis test
שנת המקור	—	1925
הוגה השיטה	—	Ronald A. Fisher
סוג	Bayesian linear model	Parametric mean comparison
מקור מכונן	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.
כינויים	bayesian linear regression, probabilistic regression, bayesian regresyon	one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
קשורות	2	4
תקציר	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.