Enhancing the Mean Ratio Estimator for Estimating Population Mean Using Conventional Parameters
Journal Title: International Journal of Mathematics and Statistics Invention - Year 2017, Vol 5, Issue 1
Abstract
Use of auxilliary information in survey sampling has its eminent role in estimating the population parameters with greater precision. The present paper concentrates on estimating the finite population mean by proposing the new generalised ratio type estimators in simple random sampling without replacement using coefficient of variation and population deciles. The expressions for mean square error and bias were calculated and compared with the classical and existing estimators. By this comparison it is conformed that our proposed class of new estimators is a class of efficient estimators under percent relative efficiency (PRE) criterion.
Authors and Affiliations
T. A. Raja, Mir Subzar, S. Maqbool, Aijaz A. Hakak
Keywords
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