Bayesian prediction based on finite mixtures of lomax components model and type i censoring
- 1 January 2001
- journal article
- research article
- Published by Taylor & Francis Ltd in Statistics
- Vol. 35 (3), 259-268
- https://doi.org/10.1080/02331880108802735
Abstract
This paper is concerned with the problem of obtaining Bayesian prediction bounds for future observations based on a type I censored sample from a nonhomogerieous population having a distribution which is a mixture of two Lomax components. A numerical example is given to illustrate our results.Keywords
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