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dc.contributor.authorAras, Girish
dc.contributor.authorWhitaker, Lyn R.
dc.contributor.authorWu, Yang-Huang
dc.date1993
dc.date.accessioned2018-12-11T18:50:52Z
dc.date.available2018-12-11T18:50:52Z
dc.date.issued1993
dc.identifier.citationAras, G., Whitaker, L.R., and Wu, Y.H., “Sequential Nonparametric Estimation of an Optimal Age Replacement Policy:  A Simulated Study,” Communications in Statistics:  Simulation and Computation, Vol. 22, 1993.en_US
dc.identifier.urihttp://hdl.handle.net/10945/60789
dc.descriptionThe article of record as published may be found at https://doi.org/10.1080/03610919308813145en_US
dc.description.abstractMaintenance policies can reduce the number of system failures and minimize costs by scheduling times for replacement. Even in the most basic scenario, where the underlying system lifetimes are assumed to be independent and identically distributed (iid), the problem of updating maintenance policies using past maintenance history has not been adequately solved. In this paper, Monte-Carlo methods are used to study a particular nonparametric procedure of Aras and Whitaker
dc.description.sponsorshipNPS Foundation
dc.format.extent20 p.
dc.publisherTaylor & Francisen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleSequential Nonparametric Estimation of an Optimal Age Replacement Policy:  A Simulated Studyen_US
dc.typeArticleen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)en_US
dc.contributor.departmentOperations Research (OR)en_US


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