One-sequence and two-sequence prediction for future Weibull records

Autor: Omar M. Bdair, Mohammad Z. Raqab
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Journal of Statistical Theory and Applications (JSTA), Vol 15, Iss 4 (2016)
Druh dokumentu: article
ISSN: 25867318
1538-7887
DOI: 10.2991/jsta.2016.15.4.3
Popis: Based on record data, prediction of the future records from the two-parameter Weibull distribution is studied. First we consider the sampling based procedure to compute the Bayes estimates and also to construct symmetric credible intervals. Secondly, we consider one-sequence and two-sequence Bayes prediction of the future records based on some observed records. The Monte Carlo algorithms are used to compute simulation consistent predictors and prediction intervals for future unobserved records. A numerical simulation study is conducted to compare the different methods and a real data set involving the annual rainfall recorded at Los Angeles Civic Center during 132 years is analyzed to illustrate the procedures developed here.
Databáze: Directory of Open Access Journals
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