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- W2994053111 abstract "Erlang distribution is continuous probability distribution that has application in several field such as stochastic process and mathematical biology, due to its relation with exponential and gamma distribution. In the sense that, the duration of the successive calls follows the Erlang distribution, if individual telephone calls is exponentially distributed to the time period. In this study, Bayesian estimation was employed in the estimation of scale parameter of weighted Erlang distribution. The posterior distribution was derived under two informative priors, which are inverse exponential and inverse chi-square prior. The Bayes estimate and their relative posterior risks were derived under the assumption of Squared Error Loss Function (SELF), and Precautionary Loss Function (PLF). A Monte Carlo simulation was carried out in order to obtain the numerical value of the estimates. It was observed that SELF performs best when inverse exponential prior is used." @default.
- W2994053111 created "2019-12-13" @default.
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- W2994053111 date "2019-01-01" @default.
- W2994053111 modified "2023-10-08" @default.
- W2994053111 title "Posterior analysis of weighted Erlang distribution" @default.
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- W2994053111 doi "https://doi.org/10.1063/1.5136185" @default.
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