Author

Mohammed Yusuf

Assistant Professor of Mathematical Statistics - Faculty of Science - Department of Mathematics - Cited by 149 - Bayesian Analysis - Order Statistics - Generalized Order Statistics - Statistical Inference - and Simulation

Biography

Mohammed Yusuf is currently working in London Centre for Nanotechnology, University College London, UK. Mohammed Yusuf international experience includes various programs, contributions and participation in different countries for diverse fields of study. Mohammed Yusuf research interests reflect wide range of publications in various national and international journals.
Title
Cited by
Year
Modelling the COVID-19 mortality rate with a new versatile modification of the log-logistic distribution
AH Muse, AH Tolba, E Fayad, OA Abu Ali, M Nagy, M YusufComputational Intelligence and Neuroscience 2021, 2021202
33
2021
Inference of fuzzy reliability model for inverse Rayleigh distribution
MA Sabry, EM Almetwally, OA Alamri, M Yusuf, HM Almongy, AS EldeebAims Math 6 (9), 9770-9785, 2021202
24
2021
Prediction of future generalized order statistics based on exponential distribution with random sample size
HM Barakat, EM Nigm, ME El-Adll, M YusufStatistical Papers 59, 605-631, 2018201
21
2018
Prediction for future exponential lifetime based on random number of generalized order statistics under a general set-up
HM Barakat, EM Nigm, ME El-Adll, M YusufStatistical Papers 59 (2), 605-631, 2018201
10
2018
Impact of YouTube Advertising on Sales with Regression Analysis and Statistical Modeling: Usefulness of Online Media in Business
Y Zhou, Z Ahmad, H Alsuhabi, M Yusuf, I Alkhairy, AM SharawyComputational Intelligence and Neuroscience 2021, 2021202
10
2021
The lomax-claim model: bivariate extension and applications to financial data
J Zhao, H Faqiri, Z Ahmad, W Emam, M Yusuf, AM SharawyComplexity 2021, 1-1, 2021202
7
2021
Estimate stress-strength reliability model using Rayleigh and half-normal distribution
OA Alamri, MM Abd El-Raouf, EA Ismail, Z Almaspoor, BSO Alsaedi, ...Computational Intelligence and Neuroscience 2021, 2021202
7
2021
Bayes Estimation of the Logistic Distribution Parameters Based on Progressive Sampling
A Rashad, M Mahmoud, M YusufAppl. Math 10 (6), 2293-2301, 2016201
5
2016
The Role of Technology in COVID-19 Pandemic Management and Its Financial Impact
J Zhao, Z Ahmad, SK Khosa, M Yusuf, OA Alamri, MS MohamedComplexity 2021, 1-12, 2021202
5
2021
Ordered variables and their concomitants under extropy via COVID-19 data application
MS Mohamed, AT Abdulrahman, Z Almaspoor, M YusufComplexity 2021, 1-1, 2021202
4
2021
Bayesian inference in a generalized log-logistic proportional hazards model for the analysis of competing risk data: An application to stem-cell transplanted patients data
SN Al-Aziz, AH Muse, TM Jawa, N Sayed-Ahmed, R Aldallal, M YusufAlexandria Engineering Journal 61 (12), 13035-13050, 2022202
4
2022
A novel logarithmic approach to generate new probability distributions for data modeling in the engineering sector
Y Zhao, Z Ahmad, A Alrumayh, M Yusuf, R Aldallal, A Elshenawy, FH RiadAlexandria Engineering Journal 62, 313-325, 2023202
4
2023
A new flexible statistical model: Simulating and modeling the survival times of COVID-19 patients in China
X Liu, Z Ahmad, S K. Khosa, M Yusuf, OA Alamri, W EmamComplexity 2021, 1-16, 2021202
3
2021
Modeling various survival distributions using a nonparametric hypothesis testing based on Laplace transform approach with some real applications
AM Gadallah, BI Mohammed, AA Al-Babtain, SK Khosa, M Kilai, M Yusuf, ...Computational and Mathematical Methods in Medicine 0, 0
2
2022
A new flexible logarithmic-X family of distributions with applications to biological systems
I Alkhairy, H Faqiri, Z Shah, H Alsuhabi, M Yusuf, R Aldallal, N Makumi, ...Complexity 0, 0
2
2022
Bayes Estimation of the Scale Parameter of the Logistic Distribution Based on Progressive First-Failure Censored Scheme
MY A Rashad, M MahmoudJournal of Statistics Applications & Probability An International Journal 6 …, 20172201
2
2017
Approximate Bayes estimators of the Logistic distribution parameters based on progressive Type-II censoring scheme
MM Mohamed, AR Moussa, MY AbdelazizPakistan Journal of Statistics and Operation Research, 519-531, 01601
2
2016
Approximate Bayes estimators of the inverted Kumaraswamy distribution parameters based on progressive Type-II censoring scheme
A Rashad, M Yusuf, S MohebJournal of Statistics Applications & Probability 8 (3), 89-99, 20920
1
2019
Analysis of cryptocurrency exchange rates vs USA dollars using a new Dagum model
Y Wang, Z Ahmad, F Khan, DK Alnagar, H Alsuhabi, I Alkhairy, M YusufAlexandria Engineering Journal 64, 645-658, 2023202
1
2023

Referred From: https://scholar.google.com/citations?user=EAH9YDwAAAAJ&hl=en

Cited by
Citations 149
h-index 7
i10-index 5
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