An Improved Estimator In Systematic Sampling
classification
📊 stat.AP
keywords
estimatorsamplingsystematicimprovedproposedadaptedapproximationauxiliary
read the original abstract
In this paper we have adapted Bahl and Tuteja (1991) estimator in systematic sampling using auxiliary information. Using Bedi (1996) transformation an improved estimator is also proposed under systematic sampling. The expressions of bias and mean square error up to the first order of approximation are derived. It has been shown that the proposed estimator performs better than many existing estimators. A numerical example is included to support the theoretical results.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.