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  • Search: subject:"complex sampling designs"
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Year of publication
Subject
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MSE estimation 2 bootstrap for complex sampling designs 2 variance estimation 2 ANOVA estimators 1 Bootstrap approach 1 Bootstrap-Verfahren 1 Estimation theory 1 ICC 1 NAEP 1 Sampling 1 Schätztheorie 1 Stichprobenerhebung 1 complex sampling designs 1 estimation bias 1 random effects model 1 sampling weights 1 selection probability 1 variance components 1
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Online availability
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Free 2 CC license 1 Undetermined 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2 Undetermined 1
Author
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Żądło, Tomasz 2 Harris, Ian 1 Jia, Yue 1 Stokes, Lynne 1 Wang, Yan 1
Published in...
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Journal of Educational and Behavioral Statistics 1 Statistics in Transition New Series 1 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 1
Source
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ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
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On the generalisation of Quatember's bootstrap
Żądło, Tomasz - In: Statistics in Transition New Series 22 (2021) 1, pp. 163-178
considered. Bootstrap algorithms applicable to complex sampling designs are used. A generalisation of the bootstrap procedure …
Persistent link: https://www.econbiz.de/10012600285
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Cover Image
On the generalisation of Quatember's bootstrap
Żądło, Tomasz - In: Statistics in transition : an international journal of … 22 (2021) 1, pp. 163-178
considered. Bootstrap algorithms applicable to complex sampling designs are used. A generalisation of the bootstrap procedure …
Persistent link: https://www.econbiz.de/10012487148
Saved in:
Cover Image
Performance of Random Effects Model Estimators Under Complex Sampling Designs
Jia, Yue; Stokes, Lynne; Harris, Ian; Wang, Yan - In: Journal of Educational and Behavioral Statistics 36 (2011) 1, pp. 6-32
In this article, we consider estimation of parameters of random effects models from samples collected via complex multistage designs. Incorporation of sampling weights is one way to reduce estimation bias due to unequal probabilities of selection. Several weighting methods have been proposed in...
Persistent link: https://www.econbiz.de/10010776016
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