Related Experiment Video
Updated: Oct 2, 2025

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
Assessing the Lifetime Performance Index with Digital Inferences of Power Hazard Function Distribution Using
Rashad M El-Sagheer1, Taghreed M Jawa2, Neveen Sayed-Ahmed2
1Department of Mathematics, Faculty of Science, A1-Azhar University, Nasr City 11 884, Cairo, Egypt.
Abstract:
This paper deals with estimating the lifetime performance index. The maximum likelihood (ML) and Bayesian estimators for lifetime performance index C where L is the lower specification limit are derived based on progressive type-II censored (Prog-Type-II-C) sample from two-parameter power hazard function distribution (PHFD). Knowing the lower specification limit, the MLE of C is applied to construct a new hypothesis testing procedure. Bayesian estimator of C is also utilized to develop a credible interval. Also, the relationship between the C and the conforming rate of products is investigated. Moreover, the Bayesian test to evaluate the lifetime performance of units is proposed. A simulation study and illustrative example based on a real dataset are discussed to evaluate the performance of the two tests.
Related Concept Videos
Censoring Survival Data
Kaplan-Meier Approach
Assumptions of Survival Analysis
Hazard Rate
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...

