A generalized skew slash distribution via gamma-normal distribution
In this article, we introduce a generalization of the slash distribution via the gamma-normal distribution. We define the new slash distribution by relation of a gamma-normal random variable with respect to a power of a uniform random variable. The newly defined distribution generalizes the slash di...
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Gespeichert in:
| Autor*in: |
Korkmaz, Mustafa Ç [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Rechteinformationen: |
Nutzungsrecht: © 2017 Taylor & Francis Group, LLC 2017 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Communications in statistics / Simulation and computation - New York, NY : Dekker, 1982, 46(2017), 2, Seite 1647-1660 |
|---|---|
| Übergeordnetes Werk: |
volume:46 ; year:2017 ; number:2 ; pages:1647-1660 |
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| DOI / URN: |
10.1080/03610918.2015.1010001 |
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| 520 | |a In this article, we introduce a generalization of the slash distribution via the gamma-normal distribution. We define the new slash distribution by relation of a gamma-normal random variable with respect to a power of a uniform random variable. The newly defined distribution generalizes the slash distribution and is more flexible in terms of its kurtosis and skewness than the slash distribution. Basic properties of the new distribution are studied. We derive the maximum likelihood estimators of its parameters and apply the distribution to a real dataset. | ||
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A generalized skew slash distribution via gamma-normal distribution |
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In this article, we introduce a generalization of the slash distribution via the gamma-normal distribution. We define the new slash distribution by relation of a gamma-normal random variable with respect to a power of a uniform random variable. The newly defined distribution generalizes the slash distribution and is more flexible in terms of its kurtosis and skewness than the slash distribution. Basic properties of the new distribution are studied. We derive the maximum likelihood estimators of its parameters and apply the distribution to a real dataset. |
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In this article, we introduce a generalization of the slash distribution via the gamma-normal distribution. We define the new slash distribution by relation of a gamma-normal random variable with respect to a power of a uniform random variable. The newly defined distribution generalizes the slash distribution and is more flexible in terms of its kurtosis and skewness than the slash distribution. Basic properties of the new distribution are studied. We derive the maximum likelihood estimators of its parameters and apply the distribution to a real dataset. |
| abstract_unstemmed |
In this article, we introduce a generalization of the slash distribution via the gamma-normal distribution. We define the new slash distribution by relation of a gamma-normal random variable with respect to a power of a uniform random variable. The newly defined distribution generalizes the slash distribution and is more flexible in terms of its kurtosis and skewness than the slash distribution. Basic properties of the new distribution are studied. We derive the maximum likelihood estimators of its parameters and apply the distribution to a real dataset. |
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| title_short |
A generalized skew slash distribution via gamma-normal distribution |
| url |
http://dx.doi.org/10.1080/03610918.2015.1010001 http://www.tandfonline.com/doi/abs/10.1080/03610918.2015.1010001 http://search.proquest.com/docview/1866272411 |
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| doi_str |
10.1080/03610918.2015.1010001 |
| up_date |
2024-07-04T02:10:05.196Z |
| _version_ |
1803612591439740928 |
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We define the new slash distribution by relation of a gamma-normal random variable with respect to a power of a uniform random variable. The newly defined distribution generalizes the slash distribution and is more flexible in terms of its kurtosis and skewness than the slash distribution. Basic properties of the new distribution are studied. 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