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An Extension of the Inverse Gaussian Distribution

dc.authorscopusid 57524658600
dc.contributor.author Arslan, T.
dc.date.accessioned 2025-05-10T16:54:21Z
dc.date.available 2025-05-10T16:54:21Z
dc.date.issued 2022
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp Arslan T., Department of Econometrics, Van Yüzüncü Yil University, Van, Turkey en_US
dc.description.abstract In this study, an a-monotone extension of the inverse Gaussian (aIG) distribution is introduced. Then, the method of moments estimations for the parameters of the aIG distribution is provided. A real dataset is used to show the fitting performance of the aIG distribution. The results show that the aIG distribution fits the corresponding dataset better than the IG distribution if the well-known goodness-of-fit statistics are taken into account. Note that the aIG distribution is defined as a general class of the IG distribution by adding a new shape parameter. It can be considered an alternative to the IG distribution in modeling data from different areas of science. © 2022 by World Scientific Publishing Europe Ltd. en_US
dc.identifier.doi 10.1142/q0346_0010
dc.identifier.endpage 219 en_US
dc.identifier.isbn 9781800611757
dc.identifier.isbn 9781800611740
dc.identifier.scopus 2-s2.0-85143481741
dc.identifier.scopusquality N/A
dc.identifier.startpage 211 en_US
dc.identifier.uri https://doi.org/10.1142/q0346_0010
dc.identifier.uri https://hdl.handle.net/20.500.14720/3103
dc.identifier.wosquality N/A
dc.institutionauthor Arslan, T.
dc.language.iso en en_US
dc.publisher World Scientific Publishing Co. en_US
dc.relation.ispartof Modeling and Advanced Techniques in Modern Economics en_US
dc.relation.publicationcategory Kitap Bölümü - Uluslararası en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.title An Extension of the Inverse Gaussian Distribution en_US
dc.type Book Part en_US

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