A Class of Predictive Estimators in Two–Stage Design when Auxiliary Character is Estimated

Monika Saini

doi:10.17485/ijst/2013/v6i3.3

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A Class of Predictive Estimators in Two–Stage Design when Auxiliary Character is Estimated

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2013/v6i3.3

Year: 2013, Volume: 6, Issue: 3, Pages: 1-6

Original Article

A Class of Predictive Estimators in Two–Stage Design when Auxiliary Character is Estimated

Monika Saini^*

School of Mathematics & Computer Applications Thapar University, Patiala, India-147001; [email protected]
*Author For Correspondence
Monika Saini
School of Mathematics & Computer Applications
Email:[email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This paper presents a class of predictive estimators for two stage sampling with unequal first and second stage units to the case where information on auxiliary character is not available. A double sampling procedure is proposed as alternative under such a situation. The proposed class consists of mainly two estimators namely Ratio and Regression. The mean square error (MSE) and minimum mean square of this class have been derived. In addition, we support these theoretical results by an empirical study.
Keywords: Double Sampling, Finite Population, Predictive Estimators, Two-stage Sampling.