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Finite Population Distribution Function Estimation Using Auxiliary Information Under Simple Random Sampling
2021
STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH
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In this paper, a new estimator for estimating the finite population distribution function(DF) are propose using supplementary information on the DF of the auxiliary variable under simple random sampling. A comparative study is conducted to compare, theoretically and numerically, the adapted distribution function estimators of Cochran (1940), Murthy (1967), Bahl and Tuteja (1991), Rao (1991), Singh et al. (2009) and Grover and Kaur (2014) with the proposed estimators. It is found that the
doi:10.52700/scir.v3i1.25
fatcat:kcyhggjcizftllwhzkgoqvrdym