Estimating the Population Mean in Two-Stage Sampling with Equal Size Clusters under Non-Response Using Auxiliary Characteristic

Authors

  • Manoj K. Chaudhary Department of Statistics, Banaras Hindu University, Varanasi, India
  • V. K. Singh Department of Statistics, Banaras Hindu University, Varanasi, India

DOI:

https://doi.org/10.15415/mjis.2013.21004

Keywords:

Two-stage sampling, Population mean, Auxiliary variable, Factor-type estimators, Non-response

Abstract

The present paper has been devoted to the study of estimating the population means in two-stage sampling with equal size clusters under non-response using an auxiliary variable. This paper focuses on the study of general families of factor-type estimators of population mean considering two different cases in which non-response is observed on study variable only and on both study and auxiliary variables respectively. The optimum properties of the proposed families in both cases are discussed. The empirical study is also carried out in support of the theoretical results.

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References

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http://dx.doi.org/10.1111/1467-842X.00094

Sahoo, L. N., and Panda, P. (1999b): A predictive regression type estimator in two-stage sampling, Journal of The Indian Society of Agricultural Statistics, 52 (3), 303-308.

Singh, L. B. (1998): Some Classes of Estimators for Finite Population Mean in Presence of Nonresponse, Ph. D. Thesis submitted to Banaras Hindu University, Varanasi, India.

Singh, V. K., and Shukla, D. (1987): One parameter family of factor-type ratio estimators, Metron, 45 (1-2), 273-283.

Srivastava, M. and Garg, N. (2009): A general class of estimators of a finite population mean using multi-auxiliary information under two-stage sampling scheme, Journal of Reliability and Statistical Studies, 1(2), 103-118.

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Published

2013-09-06

How to Cite

Manoj K. Chaudhary, and V. K. Singh. 2013. “Estimating the Population Mean in Two-Stage Sampling With Equal Size Clusters under Non-Response Using Auxiliary Characteristic”. Mathematical Journal of Interdisciplinary Sciences 2 (1):43-55. https://doi.org/10.15415/mjis.2013.21004.

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