Skip to content
Research Article Open access CC BY 4.0

Bivariate Compound Exponentiated Survival Function of the Lomax Distribution: Estimation and Prediction

R. M. Refaey, G. R. AL-Dayian, A. A. EL-Helbawy

Asian Journal of Probability and Statistics · pp. 163–184 · Published 14 Dec 2021

10.9734/ajpas/2021/v15i430372

Abstract

In this paper, bivariate compound exponentiated survival function of the Lomax distribution is constructed based on the technique considered by AL-Hussaini (2011). Some properties of the distribution are derived. Maximum likelihood estimation and prediction of the future observations are considered. Also, Bayesian estimation and prediction are studied under squared error loss function. The performance of the proposed bivariate distribution is examined using a simulation study. Finally, a real data set is analyzed under the proposed distribution to illustrate its flexibility for real-life application.

Lomax distribution bivariate distributions compound exponentiated survival functions maximum likelihood estimators prediction Bayes estimators Monte Carlo simulations

Cited by 2

On bivariate compound exponentiated survival function of the beta distribution: estimation and prediction

A.A.M. Mahmoud, Rana H. Khashab, Zakiah I. Kalantan · Journal of Radiation Research and Applied Sciences · 2024

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

2

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.