Estimating System Reliability Using Neoteric and Median RSS Data for Generalized Exponential Distribution

Cascade Reliability for Generalized Exponential Distribution

Cascade reliability model is a special type of Stress Strength model. The n Cascade system is a h ierarch ical standby redundancy system, where the standby component taking the place of failed component with decreased value of stress and independently distributed strength. This paper deals with the generalized exponential distribution with cascade system.

Sequential-Based Approach for Estimating the Stress-Strength Reliability Parameter for Exponential Distribution

In this paper, two-stage and purely sequential estimation procedures are considered to construct fixed-width confidence intervals for the reliability parameter under the stress-strength model when the stress and strength are independent exponential random variables with different scale parameters. The exact distribution of the stopping rule under the purely sequential procedure is approximated ...

An EM Algorithm for Estimating the Parameters of the Generalized Exponential Distribution under Unified Hybrid Censored Data

The unified hybrid censoring is a mixture of generalized Type-I and Type-II hybrid censoring schemes. This article presents the statistical inferences on Generalized Exponential Distribution parameters when the data are obtained from the unified hybrid censoring scheme. It is observed that the maximum likelihood estimators can not be derived in closed form. The EM algorithm for computing the ma...

Inferences for Extended Generalized Exponential Distribution based on Order Statistics

‎Recently‎, ‎a new distribution‎, ‎named as extended generalized exponential distribution‎, ‎has been introduced by Kundu and Gupta (2011). ‎In this paper‎, ‎we consider the extended generalized exponential distribution with known shape parameters α and β. ‎At first‎, ‎the exact expressions for marginal and product moments of o...

Estimations on the Generalized Exponential Distribution Using Grouped Data