Estimation of Multicomponent Stress-strength Reliability Based on Power Topp-Leone Distribution
In this study, we consider the statistical inference of multicomponent stress-strength reliability when stress and strength variables follow power Topp-Leone distributions. This system has independent and identically distributed strength components and each component is exposed to a common stress and is reliable if at least out of strength variables exceed the stress variable. The reliability of the system is estimated in view of classical and Bayesian in two cases. In the first case, we suppose that the first shape parameters are same and second shape parameters are different and in the second case, it is assumed that the common first shape parameter is known. Finally, a simulation study is performed to compare the performances of the estimators and one data set is presented for the application of methods.
-
Autoregressive stochastic frontier model with nonlinear function of exogenous variable and dynamic technical inefficiency
Bahareh Feizi *, Ahmad Poyrdarvish
New research in Mathematics, -
Pivotal and Bayesian inference in exponential coherent systems under progressive censoring
Adeleh Fallah, *
Journal of Advances in Mathematical Modeling, -
Prediction Based on Type-II Censored Coherent System Lifetime Data under a Proportional Reversed Hazard Rate Model
Adeleh Fallah, *, Hon Keung Tony Ng
Journal of Iranian Statistical Society, Spring 2021 -
A Nonlinear Autoregressive Stochastic Frontier Model with Dynamic Technical Inefficiency in Panel Data
Bahareh Feizi, *
Iranian Journal Of Operations Research, Winter and Spring 2020