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A new method for obtaining explicit estimators in unbalanced mixed linear models

von Rosen, Tatjana and Von Rosen, Dietrich and Volaufova, Julia (2020). A new method for obtaining explicit estimators in unbalanced mixed linear models. Statistical Papers. 61 , 371-383
[Journal article]

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Abstract

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.

Authors/Creators:von Rosen, Tatjana and Von Rosen, Dietrich and Volaufova, Julia
Title:A new method for obtaining explicit estimators in unbalanced mixed linear models
Year of publishing :2020
Volume:61
Page range:371-383
Number of Pages:13
Publisher:Springer
ISSN:0932-5026
Language:English
Publication Type:Journal article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 101 Mathematics > 10106 Probability Theory and Statistics
Keywords:Linear mixed models, Explicit estimators, Ordinary least squares estimators, Maximum likelihood estimators, Abstract bootstrapping
URN:NBN:urn:nbn:se:slu:epsilon-p-105239
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-105239
Additional ID:
Type of IDID
DOI10.1007/s00362-017-0937-1
Web of Science (WoS)000521495900019
ID Code:16917
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Energy and Technology
Deposited By: SLUpub Connector
Deposited On:15 May 2020 11:49
Metadata Last Modified:15 May 2020 11:49

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