ScholarGate
Asisten

Regresi linear dan nonlinear

21 metode dalam keluarga ini.

Unggulan

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 modelTes 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 Aditif 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 Kuadrat Terkecil Umum (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 Kuadrat Tengah Median (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

Jalur bacaan

Metode fondasional yang paling banyak dirujuk pada topik ini, dalam urutan pengembangannya — tempat untuk memulai jika Anda baru di sini.

  1. Regresi Linear Sederhana1805oleh Adrien-Marie Legendre (least squares, 1805); Francis Galton (regression concept, 1886)
  2. Regresi Linier Berganda1886oleh Francis Galton; formalized by Karl Pearson
  3. Kuadrat Terkecil Umum (GLS)1935oleh Alexander Craig Aitken
  4. Kuadrat Terkecil Tertimbang (WLS)1935oleh Alexander Craig Aitken
  5. Regresi Linier Berganda Robust1964–1980soleh Peter J. Huber (M-estimators, 1964); extended by Rousseeuw, Yohai, and Maronna
  6. Wild Bootstrap untuk Inferensi Regresi1986oleh Wu (1986); refined by Davidson & Flachaire (2008)
  7. Analisis Daya untuk Regresi Berganda1988oleh Jacob Cohen
  8. Regresi Polinomial2012oleh Montgomery, Peck & Vining (textbook treatment); classical least squares
semua metode di rak ini ↓

Semua metode 21

Regresi BetaTes Post-Hoc Games-HowellModel Aditif Umum untuk Lokasi, Skala, dan Bentuk (GAMLSS)Kuadrat Terkecil Umum (GLS)Diagnostik Pengaruh (Jarak Cook, DFFITS, Leverage)Regresi Kuadrat Tengah Median (LMS)MICERegresi Linier BergandaRegresi Linier Berganda MultivariatKuadrat Terkecil Biasa (Ordinary Least Squares - OLS)Panel Regresi Linear SederhanaRegresi PolinomialAnalisis Daya untuk Regresi BergandaRobust Moderation AnalysisRegresi Linier Berganda RobustRegresi Linier Sederhana RobustRegresi Linear SederhanaRegresi BertahapEstimator Tau (τ) untuk RegresiKuadrat Terkecil Tertimbang (WLS)Wild Bootstrap untuk Inferensi Regresi

Lainnya di Regresi dan GLM

GLM dan data cacah 23Robust dan kuantil 18Regresi terregularisasi 12