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Magdy Nagy Ahmed Ramadan

Assistant Professor

Faculty member

كلية العلوم
College of Science, Building 4, Office 2B-28
المنشورات
مقال فى مجلة
2022

The lifetime analysis of the Weibull model based on Generalized Type-I progressive hybrid censoring schemes

The lifetime analysis of the Weibull model based on Generalized Type-I progressive hybrid censoring schemes

In this study, we estimate the unknown parameters, reliability, and hazard functions using a generalized Type-I progressive hybrid censoring sample from a Weibull distribution. Maximum likelihood (ML) and Bayesian estimates are calculated using a choice of prior distributions and loss functions, including squared error, general entropy, and LINEX. Unobserved failure point and interval Bayesian predictions, as well as a future progressive censored sample, are also developed. Finally, we run some simulation tests for the Bayesian approach and numerical example on real data sets using the MCMC algorithm.

مزيد من المنشورات
publications

The procedure of selecting the values of hyper-parameters for prior distributions in Bayesian estimate has produced many problems and has drawn the attention of many authors, therefore the…

بواسطة M. Nagy1, M. H. Abu-Moussa, Adel Fahad Alrasheedi and A. Rabie
2022
تم النشر فى:
aimspress
publications

By observing the failure behavior of the recorded survival data, we aim to compare the different processing approaches or the effectiveness of the devices or systems applied in this nonparametric…

بواسطة M. E. Bakr, M. Nagy and Abdulhakim A. Al-Babtain
2022
تم النشر فى:
aimspress
publications

In the lifetime and reliability experiments, the censored samples play a fundamental and important role in order to control time and cost. The researchers developed the censored sample schemes to…

بواسطة M. Nagy and Adel Fahad Alrasheedi
2022