Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Hassan Okasha"'
Autor:
Hassan Okasha, Mazen Nassar
Publikováno v:
Journal of Taibah University for Science, Vol 16, Iss 1, Pp 259-269 (2022)
This paper seeks to estimate the entropy for the inverse Weibull distribution using progressively Type-II censored data. To reach this objective, the entropy is defined through three entropy measures, namely, Rényi, q-entropy and Shannon entropy, an
Externí odkaz:
https://doaj.org/article/795a1fda3d2d48f5a6d5baa5a040d9e5
Publikováno v:
AIMS Mathematics, Vol 6, Iss 12, Pp 13976-13999 (2021)
This paper introduces a new extension of the traditional Lomax distribution. The current distribution, which has one scale and two shape parameters, is known as logarithmic transformed Lomax distribution. The hazard rate function of the new distribut
Externí odkaz:
https://doaj.org/article/cdc76ce6fdcf40678bcf4434c25b216e
Publikováno v:
AIMS Mathematics, Vol 6, Iss 4, Pp 4173-4196 (2021)
In this paper, we obtain the E-Bayesian estimation of the parameter and the reliability function of the Burr type-XII distribution under adaptive progressive Type-Ⅱ censoring scheme. The E-Bayesian estimation is investigated using three different p
Externí odkaz:
https://doaj.org/article/249853d874634bbe8023236688c72408
Publikováno v:
AIMS Mathematics, Vol 7, Iss 5, Pp 7419-7420 (2022)
Externí odkaz:
https://doaj.org/article/5c14f277620348e8a75c8569ca3aee24
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0252556 (2021)
In this paper, we consider Dagum distribution which is capable of modeling various shapes of failure rates and aging criteria. Based on progressively type-I interval censoring data, we first obtain the maximum likelihood estimators and the approximat
Externí odkaz:
https://doaj.org/article/b48c83ddf88f48538b4596662a5f7cf3
Publikováno v:
Mathematics, Vol 10, Iss 3, p 436 (2022)
The loss function plays an important role in Bayesian analysis and decision theory. In this paper, a new Bayesian approach is introduced for parameter estimation under the asymmetric linear-exponential (LINEX) loss function. In order to provide a rob
Externí odkaz:
https://doaj.org/article/84f0221e3ae14be7bcb4487e641b8bda
Publikováno v:
Mathematics, Vol 9, Iss 22, p 2903 (2021)
Bayesian estimates involve the selection of hyper-parameters in the prior distribution. To deal with this issue, the empirical Bayesian and E-Bayesian estimates may be used to overcome this problem. The first one uses the maximum likelihood estimate
Externí odkaz:
https://doaj.org/article/ad7e1c500b83451f88e56706f0f41c2e
Autor:
Hassan Okasha, Abdelfattah Mustafa
Publikováno v:
Entropy, Vol 22, Iss 8, p 903 (2020)
This article focuses on using E-Bayesian estimation for the Weibull distribution based on adaptive type-I progressive hybrid censored competing risks (AT-I PHCS). The case of Weibull distribution for the underlying lifetimes is considered assuming a
Externí odkaz:
https://doaj.org/article/9d2f76d15e674f8792f6fe567273a215
Publikováno v:
Entropy, Vol 22, Iss 6, p 636 (2020)
In this paper, E-Bayesian estimation of the scale parameter, reliability and hazard rate functions of Chen distribution are considered when a sample is obtained from a type-I censoring scheme. The E-Bayesian estimators are obtained based on the balan
Externí odkaz:
https://doaj.org/article/0764607989a544ad869341d2b598beab
Autor:
Hussein Hassan Okasha, Mohammed Yousri Ahmed, Marwa A. Ahmed, Sameh Abou Elenin, Abeer Abdel-latif, Mahmoud Farouk, Mahmoud Gamal Ameen, Ahmed Hussein El-Habashi, Mahasen Akram Elshaer, Ahmed Elsayed Alzamzamy
Publikováno v:
The Egyptian Journal of Internal Medicine, Vol 36, Iss 1, Pp 1-13 (2024)
Abstract Background and aims Endoscopic ultrasound-guided tissue acquisition, including both fine-needle aspiration (EUS-FNA) and fine-needle biopsy (EUS-FNB), has been frequently performed to acquire samples from both pancreatic and non-pancreatic l
Externí odkaz:
https://doaj.org/article/cbaf0983b990405b949bbd3eb6c2c94e