Open Access
ARTICLE
Zubair Lomax Distribution: Properties and Estimation Based on Ranked Set Sampling
Rashad Bantan1, Amal S. Hassan2, Mahmoud Elsehetry3, *
1 Deanship of Scientific Research, King AbdulAziz University, Jeddah, 21589, Saudi Arabia.
2 Faculty of Graduate Studies for Statistical Research, Cairo University, Cairo, 11865, Egypt.
3 Deanship of Information Technology, King AbdulAziz University, Jeddah, 21589, Saudi Arabia.
* Corresponding Author: Mahmoud Elsehetry. Email: .
Computers, Materials & Continua 2020, 65(3), 2169-2187. https://doi.org/10.32604/cmc.2020.011497
Received 11 May 2020; Accepted 25 June 2020; Issue published 16 September 2020
Abstract
In this article, we offer a new adapted model with three parameters, called
Zubair Lomax distribution. The new model can be very useful in analyzing and modeling
real data and provides better fits than some others new models. Primary properties of the
Zubair Lomax model are determined by moments, probability weighted moments, Renyi
entropy, quantile function and stochastic ordering, among others. Maximum likelihood
method is used to estimate the population parameters, owing to simple random sample
and ranked set sampling schemes. The behavior of the maximum likelihood estimates for
the model parameters is studied using Monte Carlo simulation. Criteria measures
including biases, mean square errors and relative efficiencies are used to compare
estimates. Regarding the simulation study, we observe that the estimates based on ranked
set sampling are more efficient compared to the estimates based on simple random
sample. The importance and flexibility of Zubair Lomax are validated empirically in
modeling two types of lifetime data.
Keywords
Cite This Article
R. Bantan, A. S. Hassan and M. Elsehetry, "Zubair lomax distribution: properties and estimation based on ranked set sampling,"
Computers, Materials & Continua, vol. 65, no.3, pp. 2169–2187, 2020. https://doi.org/10.32604/cmc.2020.011497
Citations