Bayesian prediction for the range based on a two-parameter exponential distribution with a random sample size

Salem, Samia A.; El-Glad, F.A.

doi:10.1016/0026-2714(93)90267-3

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“…Lingappaiah (1988) and Salem (1987) discussed the problem when the underlying distribution is a one parmeter exponential, Salem (1988) and Lingappaiah (1988) used the two parameter Weibull distribution and El-glad (1992, 1993) used the two parameter exponential distribution. We discuss here a Bayesian prediction for the future median of a random sample drawn from a GBD, using a censored sample of type I1 as the first sample, taking the size of the future sample to be a random variable and the prior distributions of both c and k to be gamma.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Prediction of the Median of the Burr Distribution with Fixed and Random Sample Sizes

Ashour

El-Wakeel

1994

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Lingappaiah (1986) was the first to introduce the idea of Bayesian prediction in life testing when the size of the future sample is a random variable. In this paper we discuss the Bayesion prediction of the sample median when the parent distribution is a generalized Burr distribution (GBD), the old sample is censored type I1 and the size of the future sample is a random variable. A numerical illustration is provided.

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Section: Introductionmentioning

confidence: 99%