Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/2721

 Title: Bayesian and Frequentist Two-Sample Predictions of the Inverse Weibull Model Based on Generalized Order Statistics Authors: Abd Ellah, A. H. Keywords: PredictionInverse WiebullGeneralized Order StatisticsRecord ValuesProgressive Type II CensoredSymmetric Loss FunctionsAsymmetric Loss Functions Issue Date: 2011 Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences Citation: Serdica Mathematical Journal, Vol. 37, No 1, (2011), 45p-66p Abstract: This paper is concerned with the problem of deriving Bayesian prediction bounds for the future observations (two-sample prediction) from the inverse Weibull distribution based on generalized order statistics (GOS). Study the two side interval Bayesian prediction, point prediction under symmetric and asymmetric loss functions and the maximum likelihood (ML) prediction using "plug-in" procedure for future observations from the inverse Weibull distribution based on GOS. Study the problem of predicting future records based on observed progressive type II censored data and observed order statistics from the inverse Weibull distribution. Finally, a numerical example using real data are used to illustrate the procedure. Description: 2000 Mathematics Subject Classification: 62E16,62F15, 62H12, 62M20. URI: http://hdl.handle.net/10525/2721 ISSN: 1310-6600 Appears in Collections: Volume 37, Number 1

Files in This Item:

File Description SizeFormat