Reliability analysis is a well established branch of statistics that deals with the statistical study of different aspects of lifetimes of a system of components. As we pointed out earlier that major part of the theory and applications in connection with reliability analysis were discussed based on the measures in terms of distribution function. In the beginning chapters of the thesis, we have described some attractive features of quantile functions and the relevance of its use in reliability analysis. Motivated by the works of Parzen (1979), Freimer et al. (1988) and Gilchrist (2000), who indicated the scope of quantile functions in reliability analysis and as a follow up of the systematic study in this connection by Nair and Sankaran (200...
Various properties of residual life such as mean, median, percentiles, variance etc have been discus...
This article proposes a simple nonparametric estimator of quantile residual lifetime function under ...
Right-censored length-biased data are commonly encountered in many applications such as cancer scree...
The present work is in the area of Reliability Analysis. It is widely regarded that this is among th...
We extend the univariate α-quantile residual life function to multivariate setting preserving its dy...
A quantile residual life function is the quantile of the remaining life of a surviving subject, as ...
The need for residual life analysis arises in many fields including medicine and life testing. For i...
For randomly censored data, the residual life function at a given time determines a life distributio...
This thesis entitled Reliability Modelling and Analysis in Discrete time Some Concepts and Models U...
Di Crescenzo and Longobardi (2002) introduced a measure of uncertainty in past lifetime distribution...
In this paper, we introduce new concepts of aging for lifetime distributions. The main idea is the c...
Abstract: As we are familiar that existence of life is uncertain. In the context of reliability and ...
Given that a unit is of age t, the remaining life after time t is ran-dom. The expected value of thi...
Motivated by practical issues, a new stochastic order for random variables is introduced by comparin...
The failure probability of a product F (t) and the life time quantile tp are commonly used metrics i...
Various properties of residual life such as mean, median, percentiles, variance etc have been discus...
This article proposes a simple nonparametric estimator of quantile residual lifetime function under ...
Right-censored length-biased data are commonly encountered in many applications such as cancer scree...
The present work is in the area of Reliability Analysis. It is widely regarded that this is among th...
We extend the univariate α-quantile residual life function to multivariate setting preserving its dy...
A quantile residual life function is the quantile of the remaining life of a surviving subject, as ...
The need for residual life analysis arises in many fields including medicine and life testing. For i...
For randomly censored data, the residual life function at a given time determines a life distributio...
This thesis entitled Reliability Modelling and Analysis in Discrete time Some Concepts and Models U...
Di Crescenzo and Longobardi (2002) introduced a measure of uncertainty in past lifetime distribution...
In this paper, we introduce new concepts of aging for lifetime distributions. The main idea is the c...
Abstract: As we are familiar that existence of life is uncertain. In the context of reliability and ...
Given that a unit is of age t, the remaining life after time t is ran-dom. The expected value of thi...
Motivated by practical issues, a new stochastic order for random variables is introduced by comparin...
The failure probability of a product F (t) and the life time quantile tp are commonly used metrics i...
Various properties of residual life such as mean, median, percentiles, variance etc have been discus...
This article proposes a simple nonparametric estimator of quantile residual lifetime function under ...
Right-censored length-biased data are commonly encountered in many applications such as cancer scree...