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A new method for ob...
A new method for obtaining explicit estimators in unbalanced mixed linear models
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- von Rosen, Tatjana (författare)
- Stockholms universitet,Statistiska institutionen,Stockholm Univ, Sweden
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- Von Rosen, Dietrich (författare)
- Linköpings universitet,Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för energi och teknik,Department of Energy and Technology,Linköping University,Matematisk statistik,Tekniska fakulteten,Swedish Univ Agr Sci, Sweden
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- Volaufova, Julia (författare)
- LSU Hlth New Orleans, LA USA
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(creator_code:org_t)
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- 2017-08-10
- 2020
- Engelska.
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Ingår i: Statistical papers. - : Springer Science and Business Media LLC. - 0932-5026 .- 1613-9798. ; 61:1, s. 371-383
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Abstract
Ämnesord
Stäng
- The general unbalanced mixed linear model with two variance components is considered. Through resampling it is demonstrated how the fixed effects can be estimated explicitly. It is shown that the obtained nonlinear estimator is unbiased and its variance is also derived. A condition is given when the proposed estimator is recommended instead of the ordinary least squares estimator.
Ämnesord
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Nyckelord
- Linear mixed models
- Explicit estimators
- Ordinary least squares estimators
- Maximum likelihood estimators
- Abstract bootstrapping
- Mathematical Statistics
- matematisk statistik
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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