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Lineær og ikke-lineær regression

21 metoder i denne familie.

Udvalgte

Beta-regressionBeta regression is a generalized linear model introduced by Ferrari and Cribari-Neto (2004) for outcomes that are rates or proportions confined to the open interval (0,1). It modelGames-Howell Post-Hoc TestThe Games-Howell test is a parametric post-hoc multiple comparison procedure that identifies which pairs of group means differ significantly after an omnibus ANOVA reveals a signifGeneraliserede additive modeller for lokation, skala og form (GAMLSS)GAMLSS is a broad class of semi-parametric regression models introduced by Robert Rigby and Mikis Stasinopoulos in 2005. Unlike classical regression, which models only the mean of Generel mindste kvadraters metode (GLS)Generalized Least Squares (GLS) is a linear regression estimator that extends ordinary least squares to handle situations where the error terms are correlated or have non-constant Indflydelsesdiagnostik (Cook's Distance, DFFITS, Leverage)Influence diagnostics are a family of post-fit measures that quantify how much each single observation affects a fitted regression. Cook's distance was introduced by R. Dennis CookLeast Median of Squares (LMS) RegressionLeast Median of Squares is a robust linear regression method introduced by Peter J. Rousseeuw in 1984. Instead of minimising the sum of squared residuals like ordinary least square

Læsesti

Dette emnes mest refererede grundlæggende metoder, i den rækkefølge de blev udviklet — et godt sted at begynde, hvis du er ny her.

  1. Simpel lineær regression1805af Adrien-Marie Legendre (least squares, 1805); Francis Galton (regression concept, 1886)
  2. Multipel lineær regression1886af Francis Galton; formalized by Karl Pearson
  3. Generel mindste kvadraters metode (GLS)1935af Alexander Craig Aitken
  4. Vægtede mindste kvadraters metode (WLS)1935af Alexander Craig Aitken
  5. Robust multipel lineær regression1964–1980saf Peter J. Huber (M-estimators, 1964); extended by Rousseeuw, Yohai, and Maronna
  6. Wild Bootstrap til Regressionsinferens1986af Wu (1986); refined by Davidson & Flachaire (2008)
  7. Styrkeberegning for multipel regression1988af Jacob Cohen
  8. Polynomisk regression2012af Montgomery, Peck & Vining (textbook treatment); classical least squares
alle metoder på denne hylde ↓

Alle metoder 21

Beta-regressionGames-Howell Post-Hoc TestGeneraliserede additive modeller for lokation, skala og form (GAMLSS)Generel mindste kvadraters metode (GLS)Indflydelsesdiagnostik (Cook's Distance, DFFITS, Leverage)Least Median of Squares (LMS) RegressionMICEMultipel lineær regressionMultivariat multipel regressionMindste Kvadraters Metode (OLS)Simpel lineær panelregressionPolynomisk regressionStyrkeberegning for multipel regressionRobust ModerationsanalyseRobust multipel lineær regressionRobust simpel lineær regressionSimpel lineær regressionTrinvis regressionTau (τ) Estimator af RegressionVægtede mindste kvadraters metode (WLS)Wild Bootstrap til Regressionsinferens

Mere i Regression og GLM

GLM og tælledata 23Robuste og kvantilmetoder 18Regulariseret regression 12