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Elo-rangeringssystemet×Logistisk regresjon×
FagfeltBeslutningstakingForskningsstatistikk
FamilieRegression modelProcess / pipeline
Opprinnelsesår19781958
OpphavspersonArpad EloDavid Roxbee Cox
TypePairwise comparison ranking modelMethod
Opprinnelig kildeElo, A. E. (1978). The Rating of Chessplayers, Past and Present. Arco Publishing. ISBN: 978-0-668-04721-0Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242. DOI ↗
AliasElo Rating System, Elo Chess Rating, Elo Skill Rating, Elo Derecelendirme Sistemilogit model, binomial logistic regression, LR
Relaterte23
SammendragThe Elo Rating System is a pairwise comparison-based ranking method developed by Hungarian-American physicist and chess master Arpad Elo and formally published in 1978. Originally designed to assess the relative skill levels of chess players, it assigns each competitor a numerical rating that rises or falls after each encounter based on the expected versus actual outcome. The system assumes that player performance follows a logistic distribution, enabling probabilistic predictions of match results and continuous rating refinement over time.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: Elo Rating · Logistic Regression. Hentet 2026-06-20 fra https://scholargate.app/no/compare