Summary
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.
We thank Ken Binmore and Larry Samuelson for encouragement and suggestments.
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Bagnoli, M., Bergstrom, T. (2006). Log-concave probability and its applications. In: Aliprantis, C.D., Matzkin, R.L., McFadden, D.L., Moore, J.C., Yannelis, N.C. (eds) Rationality and Equilibrium. Studies in Economic Theory, vol 26. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-29578-X_11
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DOI: https://doi.org/10.1007/3-540-29578-X_11
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