On logistic-normal distribution

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dc.contributor.authorAlmagambetova, Ayanna
dc.contributor.authorZakiyeva, Nazgul
dc.date.accessioned2016-05-31T08:31:02Z
dc.date.available2016-05-31T08:31:02Z
dc.date.issued2016-04
dc.description.abstractExisting distributions do not always provide an adequate fit to the complex real world data. Hence, the interest in developing more flexible statistical distributions remains strong in statistics profession. In this project, we present a family of generalized normal distributions, the T-normal family. We study in some details a member of the proposed family namely, the logistic-normal (LN) distribution. Some properties of the LN distribution including moments, tail behavior, and modes are examined. The distribution is symmetric and can be unimodal or bimodal. The tail of the LN distribution can be heavier or lighter than the tail of the normal distribution. The performance of the maximum likelihood estimators is evaluated through small simulation study. Two bimodal data sets are used to show the applicability of the LN distributionru_RU
dc.identifier.citationAyanna Almagambetova and Nazgul Zakiyeva. 2016. On logistic-normal distribution. Nazarbayev University, Department of Mathematics. http://nur.nu.edu.kz/handle/123456789/1557ru_RU
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/1557
dc.language.isoenru_RU
dc.publisherNazarbayev University School of Science and Technology
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectResearch Subject Categoriesru_RU
dc.subjectlogistic-normal distributionru_RU
dc.titleOn logistic-normal distributionru_RU
dc.typeCapstone Projectru_RU

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