Main Article Content
Abstract
This article concerns entropy estimation using judgment post stratification sampling. Some nonparametric estimators are developed and shown to be consistent. Monte Carlo simulations are used to compare these estimators with their competitors in simple random sampling. The results indicate the preference of the new estimators.
Keywords
Judgment ranking
Judgment post stratification
Entropy estimation.
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following License
CC BY: This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
How to Cite
Zamanzade, E., & Mahdizadeh, M. (2016). Entropy estimation from judgment post stratified data. Pakistan Journal of Statistics and Operation Research, 12(4), 625-637. https://doi.org/10.18187/pjsor.v12i4.1372