ON SOME GENERALIZED CLASSES OF MINIMUM MEAN SQUARE ERROR ESTIMATORS IN SAMPLE SURVEYS

Authors

  • A.K.P.C.Swain Former Professor of Statistics,Utkal University Bhubaneswar-751004

Keywords:

Classes of estimators, Ratio estimator, Regression estimator, Simple random sampling, Bias, Mean square error, Efficiency

Abstract

In this paper some generalized classes of minimum mean square error estimators of the finite population mean in the presence of
a single auxiliary variable are proposed and their efficiencies are compared both theoretically and with numerical illustrations.

Downloads

Download data is not yet available.

Downloads

Published

2023-04-28

How to Cite

Swain, A. (2023). ON SOME GENERALIZED CLASSES OF MINIMUM MEAN SQUARE ERROR ESTIMATORS IN SAMPLE SURVEYS. Investigación Operacional, 37(1). Retrieved from https://revistas.uh.cu/invoperacional/article/view/4541

Issue

Vol. 37 No. 1 (2016): Devoted to the 50th Anniversary of the Journal

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.