LAUSR

Bayes minimax ridge regression estimators

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0 Published in 2018 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2017.1397167

Abstract: ABSTRACT The problem of estimating of the vector β of the linear regression model y = Aβ + ϵ with ϵ ∼ Np(0, σ2Ip) under quadratic loss function is considered when common variance σ2 is… read more here.

Keywords: regression estimators; minimax estimators; regression; ridge regression ... See more keywords

Optimal regression parameter-specific shrinkage by plug-in estimation

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0 Published in 2019 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2019.1602649

Abstract: Abstract One benefit of the bias-variance tradeoff is that regression estimators do not have to be strictly unbiased. However, to take full advantage of allowing bias, shrinkage regression estimators require that the appropriate level of… read more here.

Keywords: regression estimators; regression; regression parameter; shrinkage ... See more keywords

Robust equivariant non parametric regression estimators for functional ergodic data

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0 Published in 2020 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2019.1705980

Abstract: Abstract This article deals with the equivariant non parametric robust regression estimation for stationary ergodic processes valued in where is a semi-metric space. We consider a new robust regression estimator when the scale parameter is… read more here.

Keywords: regression estimators; parametric regression; regression; robust equivariant ... See more keywords

Non-iterative adjustment to regression estimators with population-based auxiliary information for semiparametric models.

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0 Published in 2021 at "Biometrics"

DOI: 10.1111/biom.13585

Abstract: Disease registries, surveillance data, and other data sets with extremely large sample sizes become increasingly available in providing population-based information on disease incidence, survival probability or other important public health characteristics. Such information can be… read more here.

Keywords: regression estimators; information; population based; semiparametric models ... See more keywords

Generalized P-phased Regression Estimators with Single and Two Auxiliary Variables

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0 Published in 2017 at "Pakistan Journal of Statistics and Operation Research"

DOI: 10.18187/pjsor.v13i3.1573

Abstract: Multiphase sampling has been the concept not being utilized is estimation of ratio and regression estimator widely. In the recent study we have proposed new dimension of sampling survey of estimations by proposing two generalized… read more here.

Keywords: regression estimators; single two; regression; auxiliary variables ... See more keywords