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Log-concave Probability and its Applications Author info | Abstract | Publisher info | Download info | Related research | Statistics Mark Bagnoli (Purdue)
Ted Bergstrom (University of California, Santa Barbara)
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In 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.
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Paper provided by Department of Economics, UC Santa Barbara in its series University of California at Santa Barbara, Economics Working Paper Series with number
1989D.
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Date of creation: 01 Jan 2004Date of revision:
Handle: RePEc:cdl:ucsbec:1989dNote: oai:cdlib1:Contact details of provider: Postal: 2127 North Hall, Santa Barbara, CA 93106-9210 Phone: (805) 893-3670 Fax: (805) 893-8830 Web page: http://repositories.cdlib.org/ucsbecon/dwp/ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Keywords: log concave probability ; reliability theory ; lemons market ; probability distributions ; Other versions of this item:
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