A modified class of exponential-type estimator of population-mean in simple random sampling

  • Authors

    • Ekaette Enang Department of Statistics, University of Calabar
    • Joy Uket Department of Statistics, University of Calabar
    • Emmanuel Ekpenyong Department of Statistics, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
    2017-06-27
    https://doi.org/10.14419/ijasp.v5i2.7345
  • Simple Random Sampling, Auxiliary Information, Exponential Ratio Estimator, Mean Square Error, Optimality Conditions, Efficiency.
  • The problem of obtaining better ratio estimators of the population means are dominating in survey sampling. This paper provides a modified class of exponential type estimators using combinations of some existing estimators. Expressions for the bias and Mean Square Error (MSE) with the optimality conditions for this class of estimators have been established. Both analytical and numerical comparison with some existing estimators shows better performances from members of the proposed class.

  • References

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