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.
Real Time Impact Factor:
1
Author Name: Gyan Prakash
URL: View PDF
Keywords: Generalized Pareto Model; Central Coverage Bayes Prediction; Type–II Censoring
ISSN: 2325-7040
EISSN: 2325-7059
EOI/DOI:
Add Citation
Views: 1063
