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The unifying role of iterative generalized least squares in statistical algorithms. With comments by Bent Jørgensen, Peter McCullagh, Joe R. Hill and a rejoinder by the author

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Publication:1595978
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DOI10.1214/ss/1177012408zbMath0955.62607OpenAlexW2003747241WikidataQ59486676 ScholiaQ59486676MaRDI QIDQ1595978

Guido E. Del Pino

Publication date: 7 February 2001

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/ss/1177012408



Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Point estimation (62F10) Foundations and philosophical topics in statistics (62A01)


Related Items (7)

Linear-quadratic estimators in a special structure of the linear model ⋮ Unnamed Item ⋮ Model selection in magnetic resonance imaging ⋮ Bias correction and improved residuals for non-exponential family nonlinear models ⋮ The iteratively reweighted estimating equation in minimum distance problems ⋮ Least-squares fitting from the variogram cloud ⋮ Applied regression analysis bibliography update 1988-89




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