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Log-Concave Probability and its Applications

dc.contributor.authorBagnoli, Marken_US
dc.contributor.authorBergstrom, Theodore C.en_US
dc.date.accessioned2013-11-14T23:20:30Z
dc.date.available2013-11-14T23:20:30Z
dc.date.issued1989-09-07en_US
dc.identifier.otherMichU DeptE CenREST W89-23en_US
dc.identifier.otherC460en_US
dc.identifier.otherL150en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/100687
dc.description.abstractIn many applications,assumptions about the log-concavity of a probability distribution allow just enough special structure to yield a workable theory.This paper catalogs a series of theorems relating log-concavity and/or log-convexity of probability density functions,distribution functions,reliability functions,and their integrals. We list a large number of commonly-used probability distributions and report the log-concavity or log-convexity of their density functions and their integrals. We also discuss a variety of applications of log-concavity that have appeared in the literature.en_US
dc.description.sponsorshipCenter for Research on Economic and Social Theory, Department of Economics, University of Michiganen_US
dc.relation.ispartofseriesCREST Working Paperen_US
dc.subjectLog Concave Probabilityen_US
dc.subjectReliability Theoryen_US
dc.subjectLemons Marketen_US
dc.subjectProbability Distributionsen_US
dc.subject.otherSpecific Distributions, Specific Statistics Information and Product Quality, Standardization and Compatibilityen_US
dc.titleLog-Concave Probability and its Applicationsen_US
dc.typeWorking Paperen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/100687/1/ECON015.pdf
dc.owningcollnameEconomics, Department of - Working Papers Series


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