CHAIN REGRESSION-TYPE ESTIMATOR USING MULTIPLE AUXILIARY INFORMATION IN SUCCESSIVE SAMPLING

DOI10.15672/HJMS.2014287479zbMath1458.62047OpenAlexW2315890455MaRDI QIDQ2822557

Manoj Kumar Srivastava, Shivam Dixit, Virendra P. Singh, Tanveer A. Tarray, Namita Srivastava, Housila Prasad Singh

Publication date: 30 September 2016

Published in: Hacettepe Journal of Mathematics and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.15672/hjms.2014287479

zbMATH Keywords

optimal replacement policydouble samplingchain type ratio estimatorrotation pattern

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (3)

A review of chain-type estimators and a new chain-type multivariate regression approach for population mean under two-occasion successive sampling ⋮ A composite class of estimators to deal with the issue of variance estimation under the situations of random non-response in two-occasion successive sampling ⋮ An effective estimation strategy for population mean under random non-response situations in two-phase successive sampling

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