Efficient use of multi-auxiliary information in search of good rotation patterns in successive sampling

DOI10.1080/03610926.2015.1041979zbMath1364.62025OpenAlexW2397225911MaRDI QIDQ2978989

Namita Srivastava, Manoj Kumar Srivastava, Housila Prasad Singh

Publication date: 2 May 2017

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

Full work available at URL: https://doi.org/10.1080/03610926.2015.1041979

zbMATH Keywords

biasmean square erroroptimum replacement policysuccessive samplinggeneral class of estimatorsmulti-auxiliary variablesminimum variance bound estimator

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Cites Work

• Regression-type estimators using two auxiliary variables and the model of double sampling from finite populations
• A chain ratio-type estimator in finite population double sampling using two auxiliary variables
• A new approach to use multivariate auxiliary information in sample surveys
• Some estimators of a finite population mean using auxiliary information
• A new estimator using two auxiliary variables
• An alternative to the ratio-cum-product estimator in sample surveys
• Ratio cum product method of estimation
• SOME THEORY OF SAMPLING ON SUCCESSIVE OCCASIONS1
• Rotation Sampling
• MULTIVARIATE RATIO ESTIMATION FOR FINITE POPULATIONS
• A class of estimators using auxiliary information in sample surveys
• Sample rotation method with auxiliary variable
• Successive Sampling Using Auxiliary Information on Both the Occasions
• A General Procedure for Estimating Population Mean in Successive Sampling
• On multivariate ratio and product estimators