Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jspi.2005.11.001
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dc.titleRepresentations of moments using lower-order conditional moments
dc.contributor.authorWang, W.
dc.contributor.authorYatracos, Y.G.
dc.date.accessioned2014-10-28T05:14:43Z
dc.date.available2014-10-28T05:14:43Z
dc.date.issued2007-01-01
dc.identifier.citationWang, W., Yatracos, Y.G. (2007-01-01). Representations of moments using lower-order conditional moments. Journal of Statistical Planning and Inference 137 (1) : 299-305. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jspi.2005.11.001
dc.identifier.issn03783758
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105331
dc.description.abstractMoments and central moments of a random variable X are expressed as integrals of functions of lower-order conditional moments and the cumulative distribution of X. In particular, sample central moments of order 2 k are expressed as the sum of between groups variations, providing an analogue to the analysis of variance. Similar expressions are obtained for the expectations of real-valued and measurable functions of X. © 2005 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.jspi.2005.11.001
dc.sourceScopus
dc.subjectMean residual life
dc.subjectMoment identities
dc.subjectSurvival function
dc.typeArticle
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.doi10.1016/j.jspi.2005.11.001
dc.description.sourcetitleJournal of Statistical Planning and Inference
dc.description.volume137
dc.description.issue1
dc.description.page299-305
dc.description.codenJSPID
dc.identifier.isiut000241099000024
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