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Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1237
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dc.contributor.authorOnga, S.H., Mukerjeeb, Rahul
dc.date.accessioned2021-08-26T06:05:20Z-
dc.date.available2021-08-26T06:05:20Z-
dc.date.issued2011
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79960695489&doi=10.1080%2f02331881003797585&partnerID=40&md5=59b97f0540ea51cb398330c00e51c7f7
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/1237-
dc.descriptionOnga, S.H., Institute of Mathematical Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia; Mukerjee, Rahul, Indian Institute of Management Calcutta, Joka, Diamond Harbour Road, Kolkata 700 104, India
dc.descriptionISSN/ISBN - 02331888
dc.descriptionpp.403-411
dc.descriptionDOI - 10.1080/02331881003797585
dc.description.abstractWe consider two-sided Bayesian tolerance intervals, with approximate frequentist validity, for a future observation in balanced one-way and two-way nested random effects models. Probability matching conditions, specific to this problem, are derived in either case via a technique that involves inversion of approximate posterior characteristic functions. In addition to yielding probability matching priors for the present problem, these conditions are useful in evaluating certain other priors that have received attention in the literature. � 2011 Taylor & Francis.
dc.publisherSCOPUS
dc.publisherStatistics
dc.relation.ispartofseries45(4)
dc.subjectFrequentist validity
dc.subjectPosterior characteristic function
dc.subjectShrinkage argument
dc.titleProbability matching priors for two-sided tolerance intervals in balanced one-way and two-way nested random effects models
dc.typeArticle
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