Journal of Statistical Theory and Applications (JSTA) (Nov 2017)

A Class of Exponential Regression Type Estimators for Population Variance in Two-Phase Sampling

  • A. Chatterjee,
  • G.N. Singh,
  • A. Bandyopadhyay

DOI
https://doi.org/10.2991/jsta.2017.16.4.10
Journal volume & issue
Vol. 16, no. 4

Abstract

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This article deals with the problems of efficient estimation of population variance in two-phase (double) sampling. Using information on two auxiliary variables, a class of chain exponential to regression type estimators has been proposed and its properties are studied under two different structures of two-phase sampling. Superiority of suggested class of estimators over some existing ones is established through numerical illustrations. Suitable recommendations to the survey statistician are also made.

Keywords