Development of efficient estimation technique for population mean in two phase sampling using fuzzy tools

DOI10.1515/jamsi-2017-0006OpenAlexW2783588666MaRDI QIDQ1670301

Peng Zhang

Publication date: 5 September 2018

Published in: Journal of Applied Mathematics, Statistics and Informatics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/jamsi-2017-0006

zbMATH Keywords

efficiencyvariancebiasauxiliary variableregressionstudy variabledouble samplingchain-typefuzzy applications

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Cites Work

• A class of chain ratio-product type estimators with two auxiliary variables under double sampling scheme
• Regression-type estimators using two auxiliary variables and the model of double sampling from finite populations
• On the use of transformed auxiliary variables in estimating population mean by using two auxiliary variables
• A chain ratio-type estimator in finite population double sampling using two auxiliary variables
• Imputation by power transformation
• An alternative to the ratio-cum-product estimator in sample surveys
• Family of estimators of mean, ratio and product of a finite population using random nonresponse
• Predictive estimation of population mean in two-phase sampling
• Some Ratio-Type Estimators in Two-Phase Sampling
• Double Sampling Ratio-product Estimator of a Finite Population Mean in Sample Surveys
• Median Estimation Using Double Sampling
• A General Procedure for Estimating Population Variance in Successive Sampling using Fuzzy Tools
• A TWO‐PHASE SAMPLING ESTIMATOR IN SAMPLE SURVEYS
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