Log-concavity property for some well-known distributions
Interesting properties and propositions, in many branches of science such as economics have been obtained according to the property of cumulative distribution function of a random variable as a concave function. Caplin and Nalebuff (1988,1989), Bagnoli and Khanna (1989) and Bagnoli and Bergstrom...
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doaj-34623500c5ca4984af265f1c4ee9b99d2020-11-25T01:30:59ZengUniversity Constantin Brancusi of Targu-JiuSurveys in Mathematics and its Applications1843-72651842-62982011-12-016 (2011)203219Log-concavity property for some well-known distributionsG. R. Mohtashami Borzadaran0H. A. Mohtashami Borzadaran1Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, IranDepartment of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, IranInteresting properties and propositions, in many branches of science such as economics have been obtained according to the property of cumulative distribution function of a random variable as a concave function. Caplin and Nalebuff (1988,1989), Bagnoli and Khanna (1989) and Bagnoli and Bergstrom (1989 , 1989, 2005) have discussed the log-concavity property of probability distributions and their applications, especially in economics. Log-concavity concerns twice differentiable real-valued function g whose domain is an interval on extended real line. g as a function is said to be log-concave on the interval (a,b) if the function ln(g) is a concave function on (a,b). Log-concavity of g on (a,b) is equivalent to g'/g being monotone decreasing on (a,b) or (ln(g))" <0. Bagnoli and Bergstrom (2005 [<A HREF="#b6">6</A>]) have obtained log-concavity for distributions such as normal, logistic, extreme-value, exponential, Laplace, Weibull, power function, uniform, gamma, beta, Pareto, log-normal, Student's t, Cauchy and F distributions. We have discussed and introduced the continuous versions of the Pearson family, also found the log-concavity for this family in general cases, and then obtained the log-concavity property for each distribution that is a member of Pearson family. For the Burr family these cases have been calculated, even for each distribution that belongs to Burr family. Also, log-concavity results for distributions such as generalized gamma distributions, Feller-Pareto distributions, generalized Inverse Gaussian distributions and generalized Log-normal distributions have been obtained. http://www.utgjiu.ro/math/sma/v06/p15.pdfLog-concavityLog-convexityContinuous distributionsPearson family; Burr familyGeneralized gamma distributionsGeneralized inverse Gaussian |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
G. R. Mohtashami Borzadaran H. A. Mohtashami Borzadaran |
spellingShingle |
G. R. Mohtashami Borzadaran H. A. Mohtashami Borzadaran Log-concavity property for some well-known distributions Surveys in Mathematics and its Applications Log-concavity Log-convexity Continuous distributions Pearson family; Burr family Generalized gamma distributions Generalized inverse Gaussian |
author_facet |
G. R. Mohtashami Borzadaran H. A. Mohtashami Borzadaran |
author_sort |
G. R. Mohtashami Borzadaran |
title |
Log-concavity property for some well-known distributions |
title_short |
Log-concavity property for some well-known distributions |
title_full |
Log-concavity property for some well-known distributions |
title_fullStr |
Log-concavity property for some well-known distributions |
title_full_unstemmed |
Log-concavity property for some well-known distributions |
title_sort |
log-concavity property for some well-known distributions |
publisher |
University Constantin Brancusi of Targu-Jiu |
series |
Surveys in Mathematics and its Applications |
issn |
1843-7265 1842-6298 |
publishDate |
2011-12-01 |
description |
Interesting properties and propositions,
in many branches of science such as economics have been obtained according
to the property of cumulative distribution function of a random variable as
a concave function. Caplin and Nalebuff (1988,1989), Bagnoli and Khanna
(1989) and Bagnoli and Bergstrom (1989 , 1989, 2005)
have discussed the
log-concavity property of probability distributions and their applications,
especially in economics.
Log-concavity concerns twice differentiable real-valued function
g whose domain is an interval on extended real line. g as a function is
said to be log-concave on the interval (a,b) if the function ln(g) is a
concave function on (a,b). Log-concavity of g on (a,b) is equivalent
to g'/g being monotone decreasing on (a,b) or (ln(g))" <0.
Bagnoli and Bergstrom (2005 [<A HREF="#b6">6</A>]) have obtained
log-concavity for distributions such as normal, logistic, extreme-value,
exponential, Laplace, Weibull, power function, uniform, gamma, beta, Pareto,
log-normal, Student's t, Cauchy and F distributions. We have discussed and
introduced the continuous versions of the Pearson family, also found the
log-concavity for this family in general cases, and then obtained the
log-concavity property for each distribution that is a member of Pearson
family. For the Burr family these cases have been calculated, even for each
distribution that belongs to Burr family. Also, log-concavity results for
distributions such as generalized gamma distributions, Feller-Pareto
distributions, generalized Inverse Gaussian distributions and generalized
Log-normal distributions have been obtained.
|
topic |
Log-concavity Log-convexity Continuous distributions Pearson family; Burr family Generalized gamma distributions Generalized inverse Gaussian |
url |
http://www.utgjiu.ro/math/sma/v06/p15.pdf |
work_keys_str_mv |
AT grmohtashamiborzadaran logconcavitypropertyforsomewellknowndistributions AT hamohtashamiborzadaran logconcavitypropertyforsomewellknowndistributions |
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