Central Coverage Bayes Prediction Intervals ...
URL: http://www.srl-journal.org/paperInfo.aspx?ID=5613
The Generalized Pareto model is considered underlying model from which observables are to be predicted by Bayesian approach. The Type–II censored data from the model is considered for the Central Coverage Bayes prediction technique. Both the known and unknown cases of the parameters have been considered here. A simulation study also has been carried out for illustrating the performances of the procedures.
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| Field | Value |
|---|---|
| Last updated | unknown |
| Created | unknown |
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| License | Other (Open) |
| Created | over 12 years ago |
| id | 554e4983-65a3-4a49-b4b5-c1e338622733 |
| package id | bebe12a4-606c-4c91-85b5-c0f82646c85b |
| resource type | file |
| revision id | c1109ae5-1553-4bfc-a268-520ca86fac5e |
| state | active |