Reliability Estimation in Multistage Ranked Set Sampling

Authors

  • M. Mahdizadeh Hakim Sabzevari University
  • Ehsan Zamanzade University of Isfahan

DOI:

https://doi.org/10.57805/revstat.v15i4.227

Keywords:

covariate information, judgment ranking, stress-strength model

Abstract

A nonparametric reliability estimator based on multistage ranked set sampling is developed. It is shown that the estimator is unbiased and its efficiency relative to the simple random sampling rival is increasing in the number of stages. Numerical experiments are used to illustrate the theoretical findings. The suggested procedure is applied on a sport data set.

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Published

2017-10-13

How to Cite

Mahdizadeh , M., & Zamanzade , E. (2017). Reliability Estimation in Multistage Ranked Set Sampling. REVSTAT-Statistical Journal, 15(4), 565–581. https://doi.org/10.57805/revstat.v15i4.227

Issue

Vol. 15 No. 4 (2017): REVSTAT-Statistical Journal

Section

Article

License

Copyright (c) 2017 REVSTAT-Statistical Journal

Creative Commons License

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