This paper deals with the problem of predicting the number of components which fail in a future time interval in the case where the failure population is a mixture of two exponential distributions and sampling is censored at a predetermined test termination time. The joint predictive distribution of the number of failures from each sub-population and the corresponding marginal distributions are derived. Both the one-sample and the two-sample prediction problems have been considered. Sample sizes are taken as random variables having the Poisson distribution. Numerical examples are provided to illustrate the predictive procedures.
Rashwan, D. (2000). Bayes Prediction for the Number of Failures in Mixed Exponential Population. The Egyptian Statistical Journal, 44(2), 193-218. doi: 10.21608/esju.2000.313835
MLA
D. R. Rashwan. "Bayes Prediction for the Number of Failures in Mixed Exponential Population", The Egyptian Statistical Journal, 44, 2, 2000, 193-218. doi: 10.21608/esju.2000.313835
HARVARD
Rashwan, D. (2000). 'Bayes Prediction for the Number of Failures in Mixed Exponential Population', The Egyptian Statistical Journal, 44(2), pp. 193-218. doi: 10.21608/esju.2000.313835
VANCOUVER
Rashwan, D. Bayes Prediction for the Number of Failures in Mixed Exponential Population. The Egyptian Statistical Journal, 2000; 44(2): 193-218. doi: 10.21608/esju.2000.313835
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