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generalized least squares · Vinony

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EntityQ2246261· pop 10· linked from 115 articles

generalized least squares

used for fitting linear regression with correlated and/or heteroscedastic errors

Connections

errors and residuals

Categories

Estimation methods Least squares Regression with time series structure

Sources

wikipedia.externallinksexternallink

heteroscedasticity

Entity

Gauss–Markov theorem

prior probability

simple linear regression model

Linear least squares

International Standard Book Number

digital object identifier

numerical analysis

International Standard Serial Number

mathematical optimization

regression analysis

identity matrix

analysis of variance

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What links here115 pages

Phylogenetic comparative methods

Poisson regression model

Least absolute deviations

polynomial regression

degrees of freedom

ordinary least squares

Frisch–Waugh–Lovell theorem

errors and residuals

nonlinear regression

multinomial logistic regression

Bayesian linear regression

Segmented regression

goodness of fit

generalized linear model

autocorrelation

semiparametric regression

minimum description length

analysis of covariance

Similar entities

Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).

multiple regression

Entitydist 0.53

Symbolic regression

Entitydist 0.55

Deming regression

Entitydist 0.58

Isotonic regression

Entitydist 0.61

mean squared error

Entitydist 0.62

systematic error

Entitydist 0.64

propagation of uncertainty

Entitydist 0.65

Generalized minimal residual method

Entitydist 0.66

Entitydist 0.67

Entitydist 0.67

robust optimization

Entitydist 0.68

Entitydist 0.68