Nonlinear regression analysis for complex surveys1

DOI10.1080/03610929008830390zbMath0728.62014OpenAlexW2093564442MaRDI QIDQ3352265

Hsien-Ming Hung

Publication date: 1990

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929008830390

zbMATH Keywords

consistencyasymptotic normalityloss functionsample weightsinfinite superpopulationLarge sample propertiesclustered finite populationstratified cluster sampling

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) General nonlinear regression (62J02)

Cites Work

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• Regression estimation with transformed auxiliary variates
• Inference from stratified samples: Properties of the linearization, jackknife and balanced repeated replication methods
• Asymptotic theory of nonlinear least squares estimation
• Transformations for Estimation of Linear Models with Nested-Error Structure
• On the Variances of Asymptotically Normal Estimators from Complex Surveys
• On the utility of transformed auxiliary variables in finite population inference¹
• Competition Experiments
• The Effect of Two-Stage Sampling on Ordinary Least Squares Methods
• Asymptotic Properties of Non-Linear Least Squares Estimators

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