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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Main Authors: G. R. Mohtashami Borzadaran, H. A. Mohtashami Borzadaran
Format: Article
Language:English
Published: University Constantin Brancusi of Targu-Jiu 2011-12-01
Series:Surveys in Mathematics and its Applications
Subjects:
Online Access:http://www.utgjiu.ro/math/sma/v06/p15.pdf
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spelling 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
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