This thesis entitled Reliability Modelling and Analysis in Discrete time Some Concepts and Models Useful in the Analysis of discrete life time data.The present study consists of five chapters. In Chapter II we take up the derivation of some general results useful in reliability modelling that involves two component mixtures. Expression for the failure rate, mean residual life and second moment of residual life of the mixture distributions in terms of the corresponding quantities in the component distributions are investigated. Some applications of these results are also pointed out. The role of the geometric,Waring and negative hypergeometric distributions as models of life lengths in the discrete time domain has been discussed already. Wh...
In this paper geometric life time model is considered under competing risks. The causes of failures ...
This paper presents a reliability analysis study of lifetime data based on Weibull and Lognormal dis...
In this note the negative hyper geometric, Waring and geometric models are characterized by the dist...
The present work is in the area of Reliability Analysis. It is widely regarded that this is among th...
The term reliability of an equipment or device is often meant to indicate the probability that it ca...
In reliability, a life time distribution can be characterized by the reliability function, hazard ra...
Analysis of life time data has been one of the major fields in the development of statistical theory...
In addressing quality issues in an industrial, manufacturing or engineering context, inherently non-...
Throughout this work, conditional failure rates for discrete positive integer-valued random variable...
Reliability analysis is a well established branch of statistics that deals with the statistical stud...
The tail behavior or age-smoothness of a lifetime distribution is an important property from both th...
In this thesis, we propose a complete review of non repairable systems reliability concepts and mode...
To study reliability problems, life time and survival analysis, a new mixture model, called the 3-co...
We will pursue a Bayesian nonparametric approach in the hierarchical mixture modelling of lifetime ...
Life distributions, mixture, mean residual life, characterization, failure rate,
In this paper geometric life time model is considered under competing risks. The causes of failures ...
This paper presents a reliability analysis study of lifetime data based on Weibull and Lognormal dis...
In this note the negative hyper geometric, Waring and geometric models are characterized by the dist...
The present work is in the area of Reliability Analysis. It is widely regarded that this is among th...
The term reliability of an equipment or device is often meant to indicate the probability that it ca...
In reliability, a life time distribution can be characterized by the reliability function, hazard ra...
Analysis of life time data has been one of the major fields in the development of statistical theory...
In addressing quality issues in an industrial, manufacturing or engineering context, inherently non-...
Throughout this work, conditional failure rates for discrete positive integer-valued random variable...
Reliability analysis is a well established branch of statistics that deals with the statistical stud...
The tail behavior or age-smoothness of a lifetime distribution is an important property from both th...
In this thesis, we propose a complete review of non repairable systems reliability concepts and mode...
To study reliability problems, life time and survival analysis, a new mixture model, called the 3-co...
We will pursue a Bayesian nonparametric approach in the hierarchical mixture modelling of lifetime ...
Life distributions, mixture, mean residual life, characterization, failure rate,
In this paper geometric life time model is considered under competing risks. The causes of failures ...
This paper presents a reliability analysis study of lifetime data based on Weibull and Lognormal dis...
In this note the negative hyper geometric, Waring and geometric models are characterized by the dist...