SOME NEW DEVELOPMENTS IN CHAIN TYPE ESTIMATORS FOR  ESTIMATING POPULATION MEAN IN CLUSTER SAMPLING

Surya K Pal; Housila P Singh; Shrasthi Srivastava

doi:10.48165/

Authors

Surya K Pal BFIT- Group of Institutions, Dehradun, Uttarakhand 248007, India.
Housila P Singh School of Studies in Statistics, Vikram University, Ujjain, Madhya Pradesh 456010, India.
Shrasthi Srivastava School of Studies in Statistics, Vikram University, Ujjain, Madhya Pradesh 456010, India.

DOI:

https://doi.org/10.48165/

Keywords:

Main and Subsidiary variable, Bias, MSE, Efficiency, Cluster sampling

Abstract

In this paper we suggest a ratio type exponential estimator, a chain ratio-type estimator, a chain ratio-type exponential estimator and a chain ratio-ratio-type exponential estimator in cluster sampling. Further we consider a generalized class of chain ratio-ratio-type exponential estimator. The properties of the suggested class of estimators are studied under large sample approximation. Conditions are obtained under which these estimators are more efficient than the usual unbiased estimators.

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