Bayesian Analysis of Dynamic Cumulative Residual Entropy for Lindley Distribution. - Abdullah M. Almarashi; Ali Algarni; Amal S. Hassan; Ahmed N. Zaky; Mohammed Elgarhy (Entropy, 2021)

Reliability Analysis of the New Exponential Inverted Topp-Leone Distribution with Applications. - Ahmed Sayed M. Metwally; Amal S. Hassan; Ehab M. Almetwally; B. M. Golam Kibria; Hisham M. Almongy (Entropy, 2021)

Inference of Truncated Lomax Inverse Lomax Distribution with Applications. - Abdullah Ali H. Ahmadini; Amal S. Hassan; M. Elgarhy; Mahmoud Elsehetry; Shokrya S. Alshqaq; Said G. Nassr (Intell. Autom. Soft Comput., 2021)

A New Four-Parameter Moment Exponential Model with Applications to Lifetime Data. - Abdullah Ali H. Ahmadini; Amal S. Hassan; Rokaya E. Mohamed; Shokrya S. Alshqaq; Heba F. Nagy (Intell. Autom. Soft Comput., 2021)

Parameter Estimation of Alpha Power Inverted Topp-Leone Distribution with Applications. - Gamal M. Ibrahim; Amal S. Hassan; Ehab M. Almetwally; Hisham M. Almongy (Intell. Autom. Soft Comput., 2021)

A New Estimation Study of the Stress-Strength Reliability for the Topp-Leone Distribution Using Advanced Sampling Methods. - Abdullah M. Almarashi; Ali Algarni; Amal S. Hassan; Mohammed Elgarhy; Farrukh Jamal; Christophe Chesneau; Khudir Alrashidi; Wali Khan Mashwani; Heba F. Nagy (Sci. Program., 2021)

Bayesian and Non-Bayesian Analysis of Exponentiated Exponential Stress-Strength Model Based on Generalized Progressive Hybrid Censoring Process. - Manal M. Yousef; Amal S. Hassan; Huda M. Alshanbari; Abd Al-Aziz Hosni El-Bagoury; Ehab M. Almetwally (Axioms, 2022)

Estimating System Reliability Using Neoteric and Median RSS Data for Generalized Exponential Distribution. - Amal S. Hassan; Rasha S. Elshaarawy; Ronald Onyango; Heba F. Nagy (Int. J. Math. Math. Sci., 2022)

Bayesian Inference and Data Analysis of the Unit-Power Burr X Distribution. - Aisha Fayomi; Amal S. Hassan; Hanan Baaqeel; Ehab M. Almetwally (Axioms, 2023)

Analysis of ℝ=P[Y<X<Z] Using Ranked Set Sampling for a Generalized Inverse Exponential Model. - Amal S. Hassan; Najwan Alsadat; Mohammed Elgarhy; Christophe Chesneau; Heba F. Nagy (Axioms, 2023)

Classical and Bayesian Inference for the Kavya-Manoharan Generalized Exponential Distribution under Generalized Progressively Hybrid Censored Data. - Mahmoud M. Abdelwahab; Anis Ben Ghorbal; Amal S. Hassan; Mohammed Elgarhy; Ehab M. Almetwally; Atef F. Hashem (Symmetry, 2023)

An Efficient Stress-Strength Reliability Estimate of the Unit Gompertz Distribution Using Ranked Set Sampling. - Najwan Alsadat; Amal S. Hassan; Mohammed Elgarhy; Christophe Chesneau; Rokaya Elmorsy Mohamed (Symmetry, 2023)

Statistical Inference of the Half Logistic Modified Kies Exponential Model with Modeling to Engineering Data. - Safar M. Alghamdi; Mansour Shrahili; Amal S. Hassan; Ahmed M. Gemeay; Ibrahim Elbatal; Mohammed Elgarhy (Symmetry, 2023)

Analysis of Milk Production and Failure Data: Using Unit Exponentiated Half Logistic Power Series Class of Distributions. - Safar M. Alghamdi; Mansour Shrahili; Amal S. Hassan; Rokaya Elmorsy Mohamed; Ibrahim Elbatal; Mohammed Elgarhy (Symmetry, 2023)

A New Asymmetric Modified Topp-Leone Distribution: Classical and Bayesian Estimations under Progressive Type-II Censored Data with Applications. - Mohammed Elgarhy; Najwan Alsadat; Amal S. Hassan; Christophe Chesneau; Alaa H. Abdel-Hamid (Symmetry, 2023)

Sampling Plan for the Kavya-Manoharan Generalized Inverted Kumaraswamy Distribution with Statistical Inference and Applications. - Najwan Alsadat; Amal S. Hassan; Mohammed Elgarhy; Christophe Chesneau; Ahmed R. El-Saeed (Axioms, 2023)

Stress-Strength Reliability Analysis for Different Distributions Using Progressive Type-II Censoring with Binomial Removal. - Ibrahim Elbatal; Amal S. Hassan; L. S. Diab; Anis Ben Ghorbal; Mohammed Elgarhy; Ahmed R. El-Saeed (Axioms, 2023)

Engineering Applications with Stress-Strength for a New Flexible Extension of Inverse Lomax Model: Bayesian and Non-Bayesian Inference. - Salem A. Alyami; Ibrahim Elbatal; Amal S. Hassan; Ehab M. Almetwally (Axioms, 2023)