A Comprehensive Study on Metaverse and Its Impacts on Humans von Bale, Ajay Sudhir, Ghorpade, Naveen, Hashim, Muhammed Furqaan, Vaishnav, Jatin, Almaspoor, Zahra

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A New Sine-Based Probabilistic Approach: Theory and Monte Carlo Simulation with Reliability Application von Heydari, Tahereh, Zare, Karim, Shokri, Soheil, Khodadadi, Zahra, Almaspoor, Zahra

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A New Logarithmic Family of Distributions: Properties and Applications von Wang, Yanping, Feng, Zhengqiang, Zahra, Almaspoor

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A Comparison of Autometrics and Penalization Techniques under Various Error Distributions: Evidence from Monte Carlo Simulation von Khan, Faridoon, Urooj, Amena, Ullah, Kalim, Alnssyan, Badr, Almaspoor, Zahra

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On the implementation of a new version of the Weibull distribution and machine learning approach to model the COVID-19 data von Zhou, Yinghui, Ahmad, Zubair, Almaspoor, Zahra, Khan, Faridoon, Tag-Eldin, Elsayed, Iqbal, Zahoor, El-Morshedy, Mahmoud

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On Predictive Modeling Using a New Flexible Weibull Distribution and Machine Learning Approach: Analyzing the COVID-19 Data von Ahmad, Zubair, Almaspoor, Zahra, Khan, Faridoon, El-Morshedy, Mahmoud

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Ordered Variables and Their Concomitants under Extropy via COVID-19 Data Application von Mohamed, Mohamed S., Abdulrahman, Alanazi Talal, Almaspoor, Zahra, Yusuf, M.

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Comparing the Forecast Performance of Advanced Statistical and Machine Learning Techniques Using Huge Big Data: Evidence from Monte Carlo Experiments von Khan, Faridoon, Urooj, Amena, Khan, Saud Ahmed, Alsubie, Abdelaziz, Almaspoor, Zahra, Muhammadullah, Sara

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A new statistical approach for modeling the bladder cancer and leukemia patients data sets: Case studies in the medical sector von El-Morshedy, Mahmoud, Ahmad, Zubair, tag-Eldin, Elsayed, Almaspoor, Zahra, Eliwa, Mohamed S., Iqbal, Zahoor

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New Rayleigh Flexible Weibull Extension (RFWE) Distribution with Applications to Real and Simulated Data von Javed, Muneeb, Asim, Syed Muhammad, Khalil, Alamgir, Shah, Said Farooq, Almaspoor, Zahra

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Predictive modeling of the COVID-19 data using a new version of the flexible Weibull model and machine leaning techniques von Rashad A. R. Bantan, Zubair Ahmad, Faridoon Khan, Mohammed Elgarhy, Zahra Almaspoor, G. G. Hamedani, Mahmoud El-Morshedy, Ahmed M. Gemeay

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On Predictive Modeling for the Al2O3 Data Using a New Statistical Model and Machine Learning Approach von El-Morshedy, Mahmoud, Almaspoor, Zahra, Srinivasa Rao, Gadde, Ilyas, Muhammad, Al-Bossly, Afrah

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On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms von Ahmad, Zubair, Almaspoor, Zahra, Khan, Faridoon, Alhazmi, Sharifah E., El-Morshedy, M., Ababneh, O. Y., Al-Omari, Amer Ibrahim

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A New Member of T-X Family with Applications in Different Sectors von Shah, Zubir, Ali, Amjad, Hamraz, Muhammad, Khan, Dost Muhammad, Khan, Zardad, EL-Morshedy, M., Al-Bossly, Afrah, Almaspoor, Zahra

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Influence Diagnostics in Log-Normal Regression Model with Censored Data von Khaleeq, Javeria, Amanullah, Muhammad, Almaspoor, Zahra

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Modeling the COVID-19 Pandemic Dynamics in Iran and China von Zhao, Jin, Ahmad, Zubair, Almaspoor, Zahra

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Recent Advancements in Fruit Detection and Classification Using Deep Learning Techniques von Ukwuoma, Chiagoziem C., Zhiguang, Qin, Bin Heyat, Md Belal, Ali, Liaqat, Almaspoor, Zahra, Monday, Happy N.

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Measures of Extropy for Concomitants of Generalized Order Statistics in Morgenstern Family von Almaspoor, Zahra, Jafari, Ali Akbar, Tahmasebi, Saeid

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A New Family of Distributions to Encounter the Extrapolating Issues von Gul, Ahtasham, Mohsin, Muhammad, Almaspoor, Zahra

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Comparison of COVID-19 Pandemic Dynamics in Asian Countries with Statistical Modeling von Almaspoor, Zahra, Ahmad, Zubair, Khosa, Saima K., Zuo, Min

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