Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Nicholas Makumi"'
Autor:
Elif Yıldırım, Eda Selin Ilıkkan, Ahmed M. Gemeay, Nicholas Makumi, M. E. Bakr, Oluwafemi Samson Balogun
Publikováno v:
AIP Advances, Vol 13, Iss 10, Pp 105107-105107-24 (2023)
This article introduces a new statistical distribution called the power unit Burr-XII distribution, which is an extension of the Burr XII distribution obtained through a power transform. This paper investigates several statistical properties of this
Externí odkaz:
https://doaj.org/article/ecbd039a9c884a9d9a135a6ae3d11836
Autor:
Ahmed M. Gemeay, Abdelfateh Beghriche, Laxmi Prasad Sapkota, Halim Zeghdoudi, Nicholas Makumi, M. E. Bakr, Oluwafemi Samson Balogun
Publikováno v:
AIP Advances, Vol 13, Iss 9, Pp 095021-095021-17 (2023)
This article aims to introduce the inverse new XLindley distribution, a further extension of the new XLindley distribution. The article explores various properties of the proposed model, such as the quantile function, stochastic orders, entropies, fu
Externí odkaz:
https://doaj.org/article/7609eb40a28b42d59bfe5ebb21d70879
General two-parameter distribution: Statistical properties, estimation, and application on COVID-19.
Autor:
Ahmed M Gemeay, Zeghdoudi Halim, M M Abd El-Raouf, Eslam Hussam, Alanazi Talal Abdulrahman, Nour Khaled Mashaqbah, Nawaf Alshammari, Nicholas Makumi
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0281474 (2023)
In this paper, we introduced a novel general two-parameter statistical distribution which can be presented as a mix of both exponential and gamma distributions. Some statistical properties of the general model were derived mathematically. Many estima
Externí odkaz:
https://doaj.org/article/ed037882eabf418b88467f8fba262dfc
Autor:
Muqrin A Almuqrin, Salemah A Almutlak, Ahmed M Gemeay, Ehab M Almetwally, Kadir Karakaya, Nicholas Makumi, Eslam Hussam, Ramy Aldallal
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0278659 (2023)
During the course of this research, we came up with a brand new distribution that is superior; we then presented and analysed the mathematical properties of this distribution; finally, we assessed its fuzzy reliability function. Because the novel dis
Externí odkaz:
https://doaj.org/article/feccf141b768428eb177ff115665155d
Publikováno v:
Journal of Mathematics, Vol 2022 (2022)
The problem in nonparametric estimation of finite population total particularly when dealing with high-dimensional datasets is addressed in this paper. The coverage properties of a robust finite population total estimator based on a feedforward backp
Externí odkaz:
https://doaj.org/article/05ee5627b37746d8bdb67e0753dad1f7
Autor:
Ibrahim Alkhairy, Humaira Faqiri, Zubir Shah, Hassan Alsuhabi, M. Yusuf, Ramy Aldallal, Nicholas Makumi, Fathy H. Riad
Publikováno v:
Complexity, Vol 2022 (2022)
Probability distributions play an essential role in modeling and predicting biomedical datasets. To have the best description and accurate prediction of the biomedical datasets, numerous probability distributions have been introduced and implemented.
Externí odkaz:
https://doaj.org/article/3e054da2494b4515bb5c6a55ba634a0e
Publikováno v:
Journal of Mathematics, Vol 2022 (2022)
In the context of stratified sampling, we develop a nonparametric regression technique to estimating finite population quantiles in model-based frameworks using a multiplicative bias correction strategy. Furthermore, the proposed estimator’s asympt
Externí odkaz:
https://doaj.org/article/da70b9bb6eb04501aad09e2df72274f0
Autor:
Muqrin A. Almuqrin, Salemah A. Almutlak, Ahmed M. Gemeay, Ehab M. Almetwally, Kadir Karakaya, Nicholas Makumi, Eslam Hussam, Ramy Aldallal
Publikováno v:
PloS one. 18(1)
During the course of this research, we came up with a brand new distribution that is superior; we then presented and analysed the mathematical properties of this distribution; finally, we assessed its fuzzy reliability function. Because the novel dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::caaf967c358312a3b4ac9ebece2cbcf3
https://pubmed.ncbi.nlm.nih.gov/36595502
https://pubmed.ncbi.nlm.nih.gov/36595502
Autor:
Festus A. Were, Nicholas Makumi, Habineza Alexis, Romanus Odhiambo Otieno, George Otieno Orwa
Publikováno v:
Open Journal of Statistics. 11:854-869
In this paper, the problem of nonparametric estimation of finite population quantile function using multiplicative bias correction technique is considered. A robust estimator of the finite population quantile function based on multiplicative bias cor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba5bfa26f2fa65d48283d2af1401f896
https://doi.org/10.4236/ojs.2021.115050
https://doi.org/10.4236/ojs.2021.115050
Publikováno v:
Computational and mathematical methods in medicine. 2022
The bivariate Poisson exponential-exponential distribution is an important lifetime distribution in medical data analysis. In this article, the conditionals, probability mass function (pmf), Poisson exponential and probability density function (pdf),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d092fd5f756f8797d1cddd41ebc2bbe4
https://pubmed.ncbi.nlm.nih.gov/35637848
https://pubmed.ncbi.nlm.nih.gov/35637848