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Reweighted least squares regression

The elimination of outliers is possible in an additional step. For this purpose the reweighted least squares regression (RLS regression) is performed, the weighting factor Wi being [ROUSSEEUW and LEROY, 1987] ... [Pg.342]

The Poisson regression model is an example of the generalized linear model. The maximum likelihood estimates of the coefficients of the predictors can be found by iteratively reweighted least squares. This also finds the covariance matrix of the normal distribution that matches the curvature of the likelihood... [Pg.228]

MINITAB (and other software) was used to estimate the parameters of interest via several more refined statistieal methods, ineluding iteratively reweighted least squares (IRLS), " " maximum likelihood estimation (MLE), probit analysis and ordinal regression. , "" The exact procedures are discussed below. [Pg.265]

Holland, P.W., Welsch, R.E. Robust regression using iteratively reweighted least squares. Communications in Statistics - Theory and Methods 6(9), 813-827 (1977)... [Pg.40]

See other pages where Reweighted least squares regression is mentioned: [Pg.22]    [Pg.179]    [Pg.203]    [Pg.206]    [Pg.217]    [Pg.279]    [Pg.281]    [Pg.299]    [Pg.301]    [Pg.333]   
See also in sourсe #XX -- [ Pg.342 ]



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