Asymptotic properties of a generalized regression‐type predictor of a finite population variance in probability sampling

DOI10.2307/3315746zbMath0877.62010OpenAlexW2057871685MaRDI QIDQ5691194

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Publication date: 2 December 1997

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315746

zbMATH Keywords

consistencymean squared errorunequal probability samplingminimum expected varianceasymptotic design unbiasednessgeneralized regression-type predictor

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Sampling theory, sample surveys (62D05)

Related Items (2)

Survey statisticians celebrate golden jubilee year 2003 of the linear regression estimator ⋮ Model-based variance estimation under unequal probability sampling

Cites Work

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• EXISTENCE OF A SEN-YATES-GRUNDY FORM FOR A DISPERSION
• Variance Estimation Using Auxiliary Information
• Survey Design Under the Regression Superpopulation Model
• Introduction to variance estimation

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