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Insanely Powerful You Need To Not Better Than Used (NBU)

Applications in reliability theory, queueing, dams, inventory and electrical activity of neurons are indicated. When requesting a correction, please mention this item’s handle: RePEc:inm:ormoor:v:11:y:1986:i:1:p:110-116. The NBU property of processes and random variables can be used to obtain bounds on various probabilistic quantities of interest; this is illustrated numerically. It is shown that various waiting times for clusters of events and for short and wide gaps in some renewal processes are NBU random variables. It then considers a situation where such partial sums are obtained through an iterative procedure of branching type stopped at the first-passage time in a linearly decreasing upper barrier.

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We proposed an integral inequality to the case of fuzzy random variables usingPordering. Computing methodologiesArtificial intelligenceKnowledge representation and reasoningLogic programming and answer set programmingMathematics of computingProbability and statisticsStatistical paradigmsStatistical graphicsSoftware and its engineeringSoftware notations and toolsGeneral programming languagesLanguage featuresRecursionTheory of computationModels of computationComputabilityRecursive functionsSemantics and reasoningProgram constructsProgram schemesCheck if you have access through your login credentials or your institution to get full access on this article. Further, sufficient conditions are established under which system failure time is new better than used, new better than used in expectation, and harmonic new better than used in expectation. The results included equivalent conditions which justify the generalized variability orderings. The dependence structure of the multivariate distribution is analyzed.

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Ji Hwan Cha. General contact details of provider: https://edirc. These comparison results are illustrated with applications to certain urn models, sampling schemes article epidemic processes. This allows to link your profile to this item.

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The properties on the dependence order and the multivariate ageing are also studied. The results are applied to the study of shock and repair models, random repair time processes, inventory, and queueing models. Various transform results and asymptotic properties of the system failure time are obtained. Follow serials, authors, keywords moreSubscribe to new additions to RePEcPublic profiles for Economics researchersVarious research rankings in EconomicsWho was a look at here of whom, using RePEcCurated articles papers on economics topicsUpload your paper to be listed on RePEc and IDEASBlog aggregator for economics researchCases of plagiarism in EconomicsPretend you are at the helm of an economics departmentData, research, apps more from the St.

AbstractThis paper considers two variants of M/G/1 queues with impatient customers, which are denoted by M/G/1+Gw and M/G/1+Gs.

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On behalf of official source authors, the corresponding author states that there is no conflict of interest. 5555/2839357. org/10. Further, sufficient conditions are established under which system failure time is new better than used, new better than used in expectation, and harmonic new better than used in expectation.

The variability ordering for more and less variables of fuzzy random variables in terms of its distribution function is defined. It also allows you to accept potential citations to this item that we are uncertain about.

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Two models, depending on whether the size of the nth shock is correlated with the length of the interval since the last shock or with the length of the succeeding interval until the next shock, are considered. ThePdomination is a generalized variability ordering.

In this paper, we study the new better than used in expectation (NBUE) and new worse than used in expectation (NWUE) properties of Markov renewal processes.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. The {Xn} denote the sizes of the shocks and the {Yn} denote the times between successive shocks.

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Learn more about Institutional subscriptionsThe authors thank the reviewers for helpful comments and valuable suggestions, which have improved the presentation of this paper considerably. The {Xn
} denote the sizes of the shocks and the {Yn
} denote the times between successive shocks. .