Inference on Downton’s Bivariate Exponential Distribution Based on Moving Extreme Ranked Set Sampling
The purpose of this paper is to estimate the parameters of Downton’s bivariate exponential distribution using moving extreme ranked set sampling (MERSS). The estimators obtained are compared via their biases and mean square errors to their counterparts using simple random sampling (SRS). Monte Carlo...
Main Authors: | Ahmed Ali Hanandeh, Mohammad Fraiwan Al-Saleh |
---|---|
Format: | Article |
Language: | English |
Published: |
Austrian Statistical Society
2016-02-01
|
Series: | Austrian Journal of Statistics |
Online Access: | http://www.ajs.or.at/index.php/ajs/article/view/152 |
Similar Items
-
Application of Ranked Set Sampling in Parameter Estimation of Cambanis-Type Bivariate Exponential Distribution
by: Kirtee Kiran Kamalja, et al.
Published: (2023-04-01) -
Bayesian Inference for a Hidden Truncated Bivariate Exponential Distribution with Applications
by: Indranil Ghosh, et al.
Published: (2024-02-01) -
Estimating the parameters of the normal, exponential and gamma distributions using median and extreme ranked set samples
by: A.-B Shaibu, et al.
Published: (2007-10-01) -
Classical and Bayesian Inference of a Mixture of Bivariate Exponentiated Exponential Model
by: Refah Alotaibi, et al.
Published: (2021-01-01) -
Bayesian estimation and prediction for linear exponential models using ordered moving extremes ranked set sampling in medical data
by: Haidy A. Newer, et al.
Published: (2025-01-01)