Estimation of parameters in survey sampling: Optimality

DOI10.2307/3315364zbMath0836.62010OpenAlexW2070426037MaRDI QIDQ4859240

V. P. Godambe

Publication date: 2 January 1996

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

Full work available at URL: https://doi.org/10.2307/3315364

zbMATH Keywords

survey samplingsuperpopulationoptimal estimating functionstarget parametersurvey populationinduced parameternoninformative designsparameter definition

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Sampling theory, sample surveys (62D05)

Related Items (2)

Developments in sample survey theory: An appraisal ⋮ The pseudo-GEE approach to the analysis of longitudinal surveys

Cites Work

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• An extension of quasi-likelihood estimation
• The Role of Sampling Weights When Modeling Survey Data
• Robust estimation through estimating equations
• Parameters of Superpopulation and Survey Population: Their Relationships and Estimation
• Quasi-Likelihood and Optimal Estimation, Correspondent Paper
• On sufficiency and ancillarity in the presence of a nuisance parameter
• Conditional likelihood and unconditional optimum estimating equations
• Use of Estimating Functions for Estimation from Complex Surveys
• On finite population sampling theory under certain linear regression models
• An Optimum Property of Regular Maximum Likelihood Estimation

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