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Paper Information

Journal:   JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS)   MARCH 2007 , Volume 6 , Number 1; Page(s) 17 To 30.
 
Paper: 

BAYESIAN PREDICTION INTERVALS FOR FUTURE ORDER STATISTICS FROM THE GENERALIZED EXPONENTIAL DISTRIBUTION

 
 
Author(s):  ALAMM A.A., RAQAB M.Z., MADI M.T.
 
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Abstract: 

Let X1,X2, ...,Xr be the first r order statistics from a sample of size n from the generalized exponential distribution with shape parameter q. In this paper, we consider a Bayesian approach to predicting future order statistics based on the observed ordered data. The predictive densities are obtained and used to determine prediction intervals for unobserved order statistics for one-sample and two-sample prediction plans. A numerical study is conducted to illustrate the prediction procedures.

 
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APA: Copy

ALAMM, A., & RAQAB, M., & MADI, M. (2007). BAYESIAN PREDICTION INTERVALS FOR FUTURE ORDER STATISTICS FROM THE GENERALIZED EXPONENTIAL DISTRIBUTION. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), 6(1), 17-30. https://www.sid.ir/en/journal/ViewPaper.aspx?id=101557



Vancouver: Copy

ALAMM A.A., RAQAB M.Z., MADI M.T.. BAYESIAN PREDICTION INTERVALS FOR FUTURE ORDER STATISTICS FROM THE GENERALIZED EXPONENTIAL DISTRIBUTION. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS). 2007 [cited 2021June20];6(1):17-30. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=101557



IEEE: Copy

ALAMM, A., RAQAB, M., MADI, M., 2007. BAYESIAN PREDICTION INTERVALS FOR FUTURE ORDER STATISTICS FROM THE GENERALIZED EXPONENTIAL DISTRIBUTION. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), [online] 6(1), pp.17-30. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=101557.



 
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