Zobrazeno 1 - 10
of 19 085
pro vyhledávání: '"exponential distribution"'
Publikováno v:
Alexandria Engineering Journal, Vol 106, Iss , Pp 392-402 (2024)
Statistical analysis of the time-to-event scenarios commonly involves the use of the exponential and Rayleigh distributions. However, the exponential distribution is constrained by its constant failure rate, while the Rayleigh distribution exhibits a
Externí odkaz:
https://doaj.org/article/64a0ae86ba234285a8e3dd8b991824fb
Publikováno v:
Alexandria Engineering Journal, Vol 105, Iss , Pp 508-522 (2024)
It is an established and already accomplished fact that probability-based methodologies (or probability/statistical distributions) play the roles of imperative tools in illustrating and describing applied phenomena. Paying attention to these previous
Externí odkaz:
https://doaj.org/article/4a518db916c7426588c9ab0ee4fa3509
Publikováno v:
Alexandria Engineering Journal, Vol 105, Iss , Pp 181-203 (2024)
This study introduces a novel family of probability distributions called the ”tangent exponential-G family,” which is derived using trigonometric transformations of the exponential distribution. The significance of this research lies in developin
Externí odkaz:
https://doaj.org/article/6fb54a9b40b2472b8bac2a03f97adf21
Autor:
Yuan Liu, Olayan Albalawi
Publikováno v:
Alexandria Engineering Journal, Vol 108, Iss , Pp 486-497 (2024)
The crucial role of heavy-tailed distributions in the analysis of financial and extreme value phenomena is widely acknowledged; however, there is a scarcity of probability distributions to accurately model such data. In the pursuit of analyzing finan
Externí odkaz:
https://doaj.org/article/10f18ee5c0f5433cbb0fb1040d7709d3
Autor:
H.E. Semary, Zawar Hussain, Walaa A. Hamdi, Maha A. Aldahlan, Ibrahim Elbatal, Vasili B.V. Nagarjuna
Publikováno v:
Alexandria Engineering Journal, Vol 100, Iss , Pp 15-31 (2024)
This article proposes a new way to increase the flexibility of a family of statistical distributions by adding two additional parameters. The newly proposed family is called the alpha–beta power transformation family of distributions. A specific mo
Externí odkaz:
https://doaj.org/article/47ec38dae1f4465a88e7142886fd432c
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 23, Iss 3, Pp 175-205 (2024)
Abstract Our research paper introduces a newly developed probability distribution called the transformed MG-extended exponential (TMGEE) distribution. This distribution is derived from the exponential distribution using the modified Frechet approach,
Externí odkaz:
https://doaj.org/article/badabfe3a58d4e8d9ae71559d924ebae
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e40001- (2024)
This study discusses Shewhart control charts to monitor the mean of non-normally distributed data using extensive Monte Carlo simulations. In particular, Weibull, exponential, and generalized exponential distributions are used to conduct a systematic
Externí odkaz:
https://doaj.org/article/ad795d7243334cf1ad36100f85767440
Autor:
Kizito E. Anyiam, Fatimah M. Alghamdi, Chrysogonus C. Nwaigwe, Hassan M. Aljohani, Okechukwu J. Obulezi
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e38293- (2024)
In this study, the Topp-Leone family of distribution approach was used to modify the Burr Hatke Exponential distribution to provide adequate fits for some engineering and health data which previous existing distributions in the family of Burr Hatke E
Externí odkaz:
https://doaj.org/article/47934ae22aa34596becedbfddadb8814
Autor:
Hleil Alrweili
Publikováno v:
Alexandria Engineering Journal, Vol 95, Iss , Pp 306-320 (2024)
This study introduces the New Exponential-Exponential Distribution (NEED) within the broader New Exponential-Generating (NE-G) family of distributions, targeting enhancements in rainfall data analysis. The significance of this research lies in addres
Externí odkaz:
https://doaj.org/article/41c39c2a3fbe4633a4f0b1b88c7642a9
Autor:
Veronica Kariuki, Anthony Wanjoya, Oscar Ngesa, Mahmoud M. Mansour, Enayat M. Abd Elrazik, Ahmed Z. Afify
Publikováno v:
AIMS Mathematics, Vol 9, Iss 6, Pp 15610-15638 (2024)
In this paper, we propose a parametric accelerated failure time (AFT) hazard-based regression model with the extended alpha-power exponential (EAPE) baseline distribution. The proposed model is called the extended alpha-power exponential-AFT (EAPE-AF
Externí odkaz:
https://doaj.org/article/227b0989ab20417286e3d06c9f578ed9