A GENERALIZED CLASS OF JACK-KNIFED ESTIMATOR FORPRODUCT OF POPULATION MEANS USING TWO AUXILIARYVARIABLES UNDER MEASUREMENT ERRORS

Authors

  • Shashi Bhushan Dr. Shakuntala Misra National Rehabilitation University image/svg+xml Author
  • Arun Kumar Babasaheb Bhimrao Ambedkar University image/svg+xml Author

Keywords:

Measurement error, Jack-knife estimator, Unbiasedness, Mean square error

Abstract

In this paper, we have suggested a generalized estimator for the estimation of product of population means in the presence of measurement errors. The expression of bias and mean square error are derived under measurement errors model. Further, we have also proposed a jack-knife version of the estimators based on Quenouille’s method in presence of measurement errors. Finally, some concluding remarks are made clearly demonstrating the importance of the proposed classes.

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Published

2019-10-10

Issue

Vol. 5 No. 2 (2019): Volume 5 - Issue 2

Section

Articles

License

Copyright (c) 2019 INTERNATIONAL JOURNAL OF APPLIED SCIENCE & TECHNOLOGY

Creative Commons License

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

How to Cite

A GENERALIZED CLASS OF JACK-KNIFED ESTIMATOR FORPRODUCT OF POPULATION MEANS USING TWO AUXILIARYVARIABLES UNDER MEASUREMENT ERRORS. (2019). INTERNATIONAL JOURNAL OF APPLIED SCIENCE & TECHNOLOGY, 5(2). http://ijast.in/index.php/ijast/article/view/67