Bayesian Prediction Under a Mixture of Two-Component Gompertz Lifetime Model

• Autores: Zeinhum F. Jaheen
• Localización: Test: An Official Journal of the Spanish Society of Statistics and Operations Research, ISSN-e 1863-8260, ISSN 1133-0686, Vol. 12, Nº. 2, 2003, págs. 413-426
• Idioma: inglés
• DOI: 10.1007/bf02595722
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• Resumen

  • A heterogeneous population can be represented by a finite mixture of two component Gompertz lifetime model. Based on type I censored samples, prediction bounds for the sth future observable from a heterogeneous population are obtained from a Bayesian approach. A numerical example is given to illustrate the procedures and the accuracy of the prediction intervals is investigated via extensive Monte Carlo simulation