2009•Unpublished venueRequires access

A General Shrinkage Estimator in Survey Sampling

Muhammad Qaiser Shahbaz, Muhammad Hanif

Abstract

Abstract: The shrinkage estimators are widely used in estimation processes. These estimators have smaller Mean Square Error’s or Variance as compared with the conventional estimators. In this article we have proposed a general class of shrinkage estimators for estimation of any population characteristic. The Mean Square Error of the proposed estimator has also been developed. Some examples are given for practical applicability of the proposed estimator. Key words: Mean square error • shrinkage estimator • population characteristics • regression estimator

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Available abstract

Key concepts: Estimator, Shrinkage estimator, Shrinkage, Mean squared error, Statistics, Minimum-variance unbiased estimator, Mathematics, Variance (accounting)