Reliability Application Using Discrete Gamma Distribution

Reliability For A Bivariate Gamma Distribution

In the area of stress-strength models there has been a large amount of work as regards estimation of the reliability R = Pr(X < Y ). The algebraic form for R = Pr(X < Y ) has been worked out for the vast majority of the well-known distributions when X and Y are independent random variables belonging to the same univariate family. In this paper, we consider forms of R when (X,Y ) follow a bivari...

application of crovelli's bivariate gamma distribution in hydrological processes

Mathematical methods and statistical distributions present exact results in the climate calculations and hydrological processes. Awareness of the rainfall probability distribution provides the appropriate conditions for water resource planning. Many studies have been done to estimate probability of rainfall by various methods due to the importance of rainfall distribution in the economic, soci...

NHPP-Based Sofotware Reliability Model with Mixed Gamma Distribution

This paper proposes a software reliability model (SRM) based on a mixed gamma distribution, so-called the mixed gamma SRM. In addition, we develop the parameter estimation method for the mixed gamma SRM. Concretely, the estimation method is based on the Bayesian estimation and the parameter estimation algorithm is described by MCMC (Markov chain Monte Carlo) method with grouped data.

Inference about Reliability Parameter with Underlying Gamma and Exponential Distribution

OF THE THESIS INFERENCE ABOUT RELIABILITY PARAMETER WITH UNDERLYING GAMMA AND EXPONENTIAL DISTRIBUTION by Zeyi Wang Florida International University, 2011 Miami, Florida Professor Jie Mi, Major Professor The statistical inference about the reliability parameter R involving independent gamma stress and exponential strength is considered. Assuming the shape parameter of gamma is a known arbitrary...

An Evaluation of the Systems Reliability Using Fuzzy Lifetime Distribution