Using the Superpopulation Model for Imputations and Variance Computation in Survey Sampling

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10127092" target="_blank" >RIV/00216208:11320/12:10127092 - isvavai.cz</a>
Result on the web
<a href="http://www.czso.cz/csu/2012edicniplan.nsf/engt/D70047D21D/$File/e-180212q1k5.pdf" target="_blank" >http://www.czso.cz/csu/2012edicniplan.nsf/engt/D70047D21D/$File/e-180212q1k5.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Using the Superpopulation Model for Imputations and Variance Computation in Survey Sampling
Original language description
This study is aimed at variance computation techniques for estimates of population characteristics based on survey sampling and imputation. We use the superpopulation regression model, which means that the target variable values for each statistical unitare treated as random realizations of a linear regression model with weighted variance. We focus on regression models with one auxiliary variable and no intercept, which have many applications and straightforward interpretation in business statistics. Furthermore, we deal with cases where the estimates are not independent and thus the covariance must be computed. We also consider chained regression models with auxiliary variables as random variables instead of constants.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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