Efficient class of estimators of population variance under random non-response in two-phase successive sampling

DOI10.1007/s40010-017-0411-4zbMath1397.62057OpenAlexW2775993505MaRDI QIDQ1794817

Garib Nath Singh, Anup Kumar Sharma

Publication date: 16 October 2018

Published in: Proceedings of the National Academy of Sciences, India. Section A. Physical Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40010-017-0411-4

zbMATH Keywords

biasmean square errorauxiliary variablevariance estimatorsuccessive samplingrandom non-response

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Cites Work

• A class of modified chain-type estimators using two auxiliary variables in two phase sampling
• A chain ratio-type estimator in finite population double sampling using two auxiliary variables
• A general class of estimators in successive sampling
• A chain regression estimator in two phase sampling using multi-auxiliary information
• Some Effective Rotation Patterns in Estimation of Population Mean in Two-Occasion Successive Sampling
• Variance Estimation Using Auxiliary Information
• Inference and missing data
• Sample rotation method with auxiliary variable
• A general class of chain estimators for ratio and product of two means of a finite population
• Search of Good Rotation Patterns to Improve the Precision of Estimates at Current Occasion
• A General Procedure for Estimating Population Mean in Successive Sampling
• Estimation of finite population variance using random non-response in survey sampling.
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