On Bayesian prediction of future median generalized order statistics using doubly censored data from type-I generalized logistic model

Tahani A. Abushal

Journal of Statistical and Econometric Methods, 2013, vol. 2, issue 1, 5

Abstract: This paper is concerned with the problem of deriving expressions for the Bayesian predictive survival functions for the median of future sample of generalized order statistics having odd and even sizes. Both of the informative and future samples are drawn from a population whose distribution is truncated type-I generalized logistic distribution TTIGL ( β, α, τ ). Doubly type II censored data and two sample technique have been used here. Bayesian prediction intervals using two independent samples, based on informative prior is obtained. Bayesian prediction intervals for: upper order statistics and upper records are considered as special cases. Numerical computations based on simulation study are given to illustrate the performance of the procedures.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.scienpress.com/Upload/JSEM%2fVol%202_1_5.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spt:stecon:v:2:y:2013:i:1:f:2_1_5

Access Statistics for this article

More articles in Journal of Statistical and Econometric Methods from SCIENPRESS Ltd
Bibliographic data for series maintained by Eleftherios Spyromitros-Xioufis ().