Searched for: subject%3A%22asymptotic%255C+distribution%22
(1 - 7 of 7)
document
Lopuhaä, H.P. (author), Gares, Valerie (author), Ruiz-Gazen, Anne (author)
We provide a unified approach to S-estimation in balanced linear models with structured covariance matrices. Of main interest are S-estimators for linear mixed effects models, but our approach also includes S-estimators in several other standard multivariate models, such as multiple regression, multivariate regression and multivariate...
journal article 2023
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Lopuhaä, H.P. (author)
A unified approach is provided for a method of estimation of the regression parameter in balanced linear models with a structured covariance matrix that combines a high breakdown point with high asymptotic efficiency at models with multivariate normal errors. Of main interest are linear mixed effects models, but our approach also includes...
journal article 2023
document
Groeneboom, P. (author), Jongbloed, G. (author), Witte, B.I. (author)
We consider the problem of estimating the distribution function, the density and the hazard rate of the (unobservable) event time in the current status model. A well studied and natural nonparametric estimator for the distribution function in this model is the nonparametric maximum likelihood estimator (MLE). We study two alternative methods for...
journal article 2010
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Jongbloed, G. (author), Van der Meulen, F.H. (author)
We consider two nonparametric procedures for estimating a concave distribution function based on data corrupted with additive noise generated by a bounded decreasing density on (0, ?). For the maximum likelihood (ML) estimator and least squares (LS) estimator, we state qualitative properties, prove consistency and propose a computational...
journal article 2009
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Kulikov, V.N. (author), Lopuhaa, H.P. (author)
journal article 2006
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Groeneboom, P. (author), Jongbloed, G. (author)
journal article 1995
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Groeneboom, P. (author)
journal article
Searched for: subject%3A%22asymptotic%255C+distribution%22
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