A CLASS OF ESTIMATORS FOR POPULATION MEAN UTILIZING INFORMATION ON AUXILIARY VARIABLES USING TWO PHASE SAMPLING SCHEME IN THE PRESENCE OF NON-RESPONSE WHEN STUDY VARIABLE IS AN ATTRIBUTE | [Pakistan Journal of Statistics • 2019]

Author(s):

1. Nitesh K. Adichwal: Department of Decision Sciences, School of Business,University of Petroleum and Energy Studies, Dehradun, India

2. Prayas Sharma: Department of Decision Sciences, School of Business,University of Petroleum and Energy Studies, Dehradun, India

3. Yashpal Singh Raghav: Department of Mathematics, Jazan University, Jazan, KSA

4. Rajesh Singh: Department of Statistics, Banaras Hindu University, Varanasi, India.

Abstract:

In this paper, we have considered the problem of estimating the population mean using one or two auxiliary variables in the presence of non response under two phase sampling when study variable itself is qualitative in nature. Bias and mean squared error (MSE) expressions of the classes of estimators are derived up to the first order of approximation. The proposed estimators have been compared with the usual estimator. An empirical study has been carried out to show that the proposed class of estimators using auxiliary variables are of great importance in increasing the efficiency of the survey.

Page(s): 187-196

DOI: DOI not available

Published: Journal: Pakistan Journal of Statistics, Volume: 35, Issue: 3, Year: 2019

Keywords:

mean square error , Non Response , Auxiliary Information Simple Random Sampling , Population Mean , Two Phase Sampling

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