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Bradley-Terry-modellen×Logistisk regresjon×
FagfeltBeslutningstakingForskningsstatistikk
FamilieRegression modelProcess / pipeline
Opprinnelsesår19521958
OpphavspersonRalph Bradley & Milton TerryDavid Roxbee Cox
TypeProbabilistic paired comparison modelMethod
Opprinnelig kildeBradley, R. A., & Terry, M. E. (1952). Rank analysis of incomplete block designs: I. The method of paired comparisons. Biometrika, 39(3/4), 324–345. DOI ↗Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242. DOI ↗
AliasBT Model, Bradley-Terry-Luce Model, Paired Comparison Model, İkili Karşılaştırma Modelilogit model, binomial logistic regression, LR
Relaterte33
SammendragThe Bradley-Terry model is a probabilistic model for paired comparisons that assigns a latent strength parameter to each item and predicts the probability that one item beats another in a head-to-head contest. Introduced by Ralph A. Bradley and Milton E. Terry in 1952, it provides a principled statistical framework for ranking items from pairwise preference data, including incomplete comparison designs where not every pair is directly observed.Logistic regression is a statistical method for modeling the probability of a binary outcome (disease present/absent, success/failure) as a function of continuous and categorical predictors. Developed by David Roxbee Cox (1958), it solves the problem of predicting categorical outcomes by applying a logistic transformation to constrain predictions to the [0,1] probability interval, enabling accurate risk stratification, diagnostic prediction, and causal inference in epidemiology, medicine, and social science.
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ScholarGateSammenlign metoder: Bradley-Terry Model · Logistic Regression. Hentet 2026-06-18 fra https://scholargate.app/no/compare