Bayesian Prediction of Weibull Distribution Based on Fixed and Random Sample Size
Data(s) |
21/07/2016
21/07/2016
2009
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Resumo |
2000 Mathematics Subject Classification: 62E16, 65C05, 65C20. We consider the problem of predictive interval for future observations from Weibull distribution. We consider two cases they are: (i) fixed sample size (FSS), (ii) random sample size (RSS). Further, we derive the predictive function for both FSS and RSS in closed forms. Next, the upper and lower 1%, 2.5%, 5% and 10% critical points for the predictive functions are calculated. To show the usefulness of our results, we present some simulation examples. Finally, we apply our results to some real data set in life testing given in Lawless [16]. |
Identificador |
Serdica Mathematical Journal, Vol. 35, No 2, (2009), 129p-146p 1310-6600 |
Idioma(s) |
en |
Publicador |
Institute of Mathematics and Informatics Bulgarian Academy of Sciences |
Palavras-Chave | #Predictive Function #Random Sample Size #Predictive Intervals #Bayesian Prediction |
Tipo |
Article |