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

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ALAMM A.A.; RAQAB M.Z.; MADI M.T.

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Journal: JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS) Year:2007 | Volume:6 | Issue:1 Page(s): 17-30

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Title

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

Author(s)

ALAMM A.A. | RAQAB M.Z. | MADI M.T. | Issue Writer Certificate

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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.A., RAQAB, M.Z., & MADI, M.T.. (2007). BAYESIAN PREDICTION INTERVALS FOR FUTURE ORDER STATISTICS FROM THE GENERALIZED EXPONENTIAL DISTRIBUTION. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), 6(1), 17-30. SID. https://sid.ir/paper/117824/en

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)[Internet]. 2007;6(1):17-30. Available from: https://sid.ir/paper/117824/en

IEEE: Copy

A.A. ALAMM, M.Z. RAQAB, and M.T. MADI, “BAYESIAN PREDICTION INTERVALS FOR FUTURE ORDER STATISTICS FROM THE GENERALIZED EXPONENTIAL DISTRIBUTION,” JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), vol. 6, no. 1, pp. 17–30, 2007, [Online]. Available: https://sid.ir/paper/117824/en

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