EFFICIENT ESTIMATORS OF POPULATION MEAN USING AUXILIARY INFORMATION UNDER SIMPLE RANDOM SAMPLING Cover Image

EFFICIENT ESTIMATORS OF POPULATION MEAN USING AUXILIARY INFORMATION UNDER SIMPLE RANDOM SAMPLING
EFFICIENT ESTIMATORS OF POPULATION MEAN USING AUXILIARY INFORMATION UNDER SIMPLE RANDOM SAMPLING

Author(s): Mir Subzar, Showkat Maqbool, Tariq Ahmad Raja, Prayas Sharma
Subject(s): Economy, National Economy, Sociology, Public Finances
Published by: Główny Urząd Statystyczny
Keywords: Auxiliary information; Bias; Mean Square Error; Simple Random Sampling; Efficiency

Summary/Abstract: In the present study we have proposed an improved family of estimators for estimation of population mean using the auxiliary information of median, quartile deviation, Gini’s mean difference, Downton’s Method, Probability Weighted Moments and their linear combinations with correlation coefficient and coefficient of variation. The performance of the proposed family of estimators is analysed by mean square error and bias and compared with the existing estimators in the literature. By this comparison we conclude that our proposed family of estimators is more efficient than the existing estimators. To support the theoretical results, we also provide the empirical study.

  • Issue Year: 19/2018
  • Issue No: 2
  • Page Range: 219-238
  • Page Count: 20
  • Language: English
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