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Regresheni ya mstari na isiyo ya mstari

21 mbinu katika familia hii.

Zilizoangaziwa

Usuli wa Regresi ya BetaBeta 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 modelKipimo cha Post-Hoc cha Games-HowellThe 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 signifMifumo Additive ya Jumla kwa Mahali, Kiwango na Umbo (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 Mbinu ya Viwango Vidogo Vilivyopanuliwa (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 Uchambuzi wa Ushawishi (Umbali wa Cook, DFFITS, Leveraji)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 CookRega ya Kima cha Kati cha Viwango vya Makosa (LMS)Least 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

Njia ya usomaji

Mbinu za msingi zinazorejelewa zaidi za mada hii, kwa mpangilio zilivyobuniwa — mahali pa kuanzia ikiwa wewe ni mgeni hapa.

  1. UREJESHO SAHIHI WA KILIMO SAHIHI1805na Adrien-Marie Legendre (least squares, 1805); Francis Galton (regression concept, 1886)
  2. Msawazo Mkuu wa Mlinganyo (MLR)1886na Francis Galton; formalized by Karl Pearson
  3. Mbinu ya Viwango Vidogo Vilivyopanuliwa (GLS)1935na Alexander Craig Aitken
  4. Weighted Least Squares (WLS)1935na Alexander Craig Aitken
  5. Robust Multiple linear regression1964–1980sna Peter J. Huber (M-estimators, 1964); extended by Rousseeuw, Yohai, and Maronna
  6. Uchambuzi wa Wild Bootstrap kwa Uingizaji wa Regressheni1986na Wu (1986); refined by Davidson & Flachaire (2008)
  7. Uchambuzi wa Nguvu kwa Regresheni Nyingi1988na Jacob Cohen
  8. Regressioni ya Polinomiali2012na Montgomery, Peck & Vining (textbook treatment); classical least squares
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Mbinu zote 21

Usuli wa Regresi ya BetaKipimo cha Post-Hoc cha Games-HowellMifumo Additive ya Jumla kwa Mahali, Kiwango na Umbo (GAMLSS)Mbinu ya Viwango Vidogo Vilivyopanuliwa (GLS)Uchambuzi wa Ushawishi (Umbali wa Cook, DFFITS, Leveraji)Rega ya Kima cha Kati cha Viwango vya Makosa (LMS)MICEMsawazo Mkuu wa Mlinganyo (MLR)Regresheni ya Mstari wa Vigeu Vingi (Multivariate Multiple Linear Regression)Ordinary Least Squares (OLS)Wachanganuzi Rahisi wa Laini wa PaneliRegressioni ya PolinomialiUchambuzi wa Nguvu kwa Regresheni NyingiUchambuzi Imara wa UtawalaRobust Multiple linear regressionRegressioni Chini ya Mfumo Mkuu wa Takwimu (Robust Simple Linear Regression)UREJESHO SAHIHI WA KILIMO SAHIHIUsawazishaji wa Hatua kwa HatuaKikokotozi cha Tau (τ) chaUREJESHOWeighted Least Squares (WLS)Uchambuzi wa Wild Bootstrap kwa Uingizaji wa Regressheni

Zaidi katika Regresheni na GLM

GLM na data za hesabu 23Regresheni imara na ya kwantili 18Regresheni iliyodhibitiwa (regularized) 12