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dc.contributor.authorDyer, Danny D.en
dc.date.accessioned2010-06-01T18:37:13Zen
dc.date.available2010-06-01T18:37:13Zen
dc.date.issued1976-06en
dc.identifier.urihttp://hdl.handle.net/10106/2197en
dc.description.abstract**Please note that the full text is embargoed** ABSTRACT: The two-parameter Pareto density function [see PDF for equation] is widely used in applied statistics. For example, in reliability theory (1.1) represents the failure-time distribution of a "work-hardened" component whose.hazard function is inversely proportional to time. Because of its long right-tail, (1.1) is often a probability model for certain socioeconomic phenomena (e.g., distribution of city population sizes, distribution of personal incomes which exceed tax-exempt levels). One of the more recent characterizations of the Pareto distribution is due to Revankar, et. at. [15]. They show that within the population of individuals that under-report their income for income tax purposes, the average under-reporting error for a given reported income is a linear function of the reported income if and only if the distribution of incomes in the population follows a Pareto distribution.en
dc.language.isoen_USen
dc.publisherUniversity of Texas at Arlingtonen
dc.relation.ispartofseriesTechnical Report;41en
dc.subjectPareto distributionen
dc.subjectApplied statisticsen
dc.subjectStructural modelen
dc.subject.lcshMathematics Researchen
dc.titleOptimum Structural Probability Bounds for the Right-tail of the Paretian Lawen
dc.typeTechnical Reporten
dc.publisher.departmentDepartment of Mathematicsen


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