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Bayes Prediction Bound Lengths Under Different Censoring Criterion: A Comparative Study

並列摘要


The censoring arises when exact lifetimes are only partially known and it is useful in life testing experiments for time and cost restrictions. Especially, when some sample values at either or both extremes might have been adulterated. This article presents a comparative study based on One-Sample Bayes prediction bound length. Three dif ferent censoring criterions have been addressed on Gompertz distribution. Performances of the procedures are illustrated by an example based on real data. A simulation study also carries out for the illustration of procedures.

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