A geometric approach to detecting influential cases

DOI10.1214/aos/1176348262zbMath0741.62067OpenAlexW2083151507MaRDI QIDQ1178954

Paul W. Vos

Publication date: 26 June 1992

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176348262

zbMATH Keywords

parameter invarianceKullback divergenceCook's distancemeasures of influencedual geometriesexponential family regression

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Parametric inference (62F99) General nonlinear regression (62J02)

Related Items (6)

An \(R\)-squared measure of goodness of fit for some common nonlinear regression models ⋮ Likelihood-based measures of influence for generalized linear models ⋮ Extended differential geometric LARS for high-dimensional GLMs with general dispersion parameter ⋮ Minimum \(f\)-divergence estimators and quasi-likelihood functions ⋮ Applied regression analysis bibliography update 1990-91 ⋮ On preferred point geometry in statistics

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