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Regresi linear dan tak linear

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Regresi 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 modelUjian Post-Hoc 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 signifModel Additif Umum untuk Lokasi, Skala dan Bentuk (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 Generalized Least Squares (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 Diagnostik Pengaruh (Jarak Cook, 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 CookRegresi Kuadran Median Terkecil (Least Median of Squares - 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

Laluan bacaan

Kaedah asas yang paling banyak dirujuk bagi topik ini, mengikut susunan ia dibangunkan — tempat untuk bermula jika anda baharu di sini.

  1. Regresi Linear Mudah1805oleh Adrien-Marie Legendre (least squares, 1805); Francis Galton (regression concept, 1886)
  2. Regresi Linear Berganda1886oleh Francis Galton; formalized by Karl Pearson
  3. Generalized Least Squares (GLS)1935oleh Alexander Craig Aitken
  4. Kuasa Dua Terkecil Berwajaran (WLS)1935oleh Alexander Craig Aitken
  5. Regresi Linear Berganda Teguh1964–1980soleh Peter J. Huber (M-estimators, 1964); extended by Rousseeuw, Yohai, and Maronna
  6. Sempelan Liar untuk Inferens Regresi1986oleh Wu (1986); refined by Davidson & Flachaire (2008)
  7. Analisis Kuasa untuk Regresi Berganda1988oleh Jacob Cohen
  8. Regresi Polinomial2012oleh Montgomery, Peck & Vining (textbook treatment); classical least squares
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Regresi BetaUjian Post-Hoc Games-HowellModel Additif Umum untuk Lokasi, Skala dan Bentuk (GAMLSS)Generalized Least Squares (GLS)Diagnostik Pengaruh (Jarak Cook, DFFITS, Leverage)Regresi Kuadran Median Terkecil (Least Median of Squares - LMS)MICERegresi Linear BergandaRegresi Linear Berganda Pelbagai Pemboleh UbahKuasa Dua Terkecil Biasa (OLS)Regresi Linear Mudah PanelRegresi PolinomialAnalisis Kuasa untuk Regresi BergandaAnalisis Moderasi TeguhRegresi Linear Berganda TeguhRegresi Linear Mudah RobustRegresi Linear MudahRegresi Langkah Demi LangkahPenganggar Tau (τ) bagi RegresyenKuasa Dua Terkecil Berwajaran (WLS)Sempelan Liar untuk Inferens Regresi

Lagi dalam Regresi dan GLM

GLM dan data bilangan 23Teguh dan kuantil 18Regresi terregularisasi 12