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2017•Journal of Reliability and Statistical StudiesRequires access

NEW EXPONENTIAL-RATIO TYPE ESTIMATORS OF POPULATION MEAN IN TWO- PHASE SAMPLING USING NO INFORMATION CASE ON AUXILIARY VARIABLES

Hina Khan, Masood Amjad Khan

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Abstract

In this paper exponential ratio type estimators have been proposed for population mean using two phase equal probability sampling with single and two auxiliary variables in case of no information. The proposed estimators are compared with the estimators given by Sukhatme (1962), Singh and Vishwakarma (2007) and Hanif et al. (2009). It is found that the proposed estimators are relatively more efficient than these estimators for all types of populations.

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What this paper is about

In this paper exponential ratio type estimators have been proposed for population mean using two phase equal probability sampling with single and two auxiliary variables in case of no information. The proposed estimators are compared with the estimators given by Sukhatme (1962), Singh and Vishwakarma (2007) and Hanif et al. (2009). It is found that the proposed estimators are relatively more efficient than these estimators for all types of populations.

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Available abstract

In this paper exponential ratio type estimators have been proposed for population mean using two phase equal probability sampling with single and two auxiliary variables in case of no information. The proposed estimators are compared with the estimators given by Sukhatme (1962), Singh and Vishwakarma (2007) and Hanif et al. (2009). It is found that the proposed estimators are relatively more efficient than these estimators for all types of populations.

Key concepts: Estimator, Population mean, Mathematics, Statistics, Extremum estimator, Ratio estimator, Exponential type, M-estimator

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NEW EXPONENTIAL-RATIO TYPE ESTIMATORS OF POPULATION MEAN IN TWO- PHASE SAMPLING USING NO INFORMATION CASE ON AUXILIARY VARIABLES — Research Paper | ScholarLens