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Maximum likelihood parameter estimation by model augmentation with application to the extended four-parameter generalized gamma distribution
http://hdl.handle.net/10228/717
http://hdl.handle.net/10228/717e124210c-39be-4f8a-b04a-b957ccf38c5f
名前 / ファイル | ライセンス | アクション |
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Item type | テクニカルレポート = Technical Report(1) | |||||
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公開日 | 2008-01-18 | |||||
タイトル | ||||||
タイトル | Maximum likelihood parameter estimation by model augmentation with application to the extended four-parameter generalized gamma distribution | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Maximum likelihood estimation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Model augmentation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Continuation method | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Generalized extreme-value distribution | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Extreme-value distribution | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Weibull distribution | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Uniform distribution | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Extended gamma distribution | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||
資源タイプ | technical report | |||||
著者 |
Hirose, Hideo
× Hirose, Hideo |
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著者別名 | ||||||
姓名 | 廣瀬, 英雄 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Maximum likelihood parameter estimation becomes easy by augmenting the parameterspace of the probability distribution. An extended model of the four-parameter generalizedgamma distribution includes the three-parameter generalized extreme-value distributionwhich includes the two-parameter Gumbel distribution. These relationships allow us toconstruct the maximum likelihood parameter estimation procedure from simpler models tomore complex models. This method works successfully when the solution is located in theinterior of the parameter space. The continuation method is used for the model augmentation.The likelihood equations for the four-parameter generalized gamma distribution doesnot always have solutions in the interior of the parameter space; the continuation method,however, leads us to find solutions on the boundary or at the corner of the parameterspace. | |||||
書誌情報 |
Technical Report in Computer Science and Systems Engineering 発行日 1999-04-01 |
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出版者 | ||||||
出版者 | 九州工業大学 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1344-8803 | |||||
著者所属 | ||||||
Department of Control Engineering and Science, Kyushu Institute of Technology | ||||||
著者所属 | ||||||
九州工業大学情報工学部 制御システム工学科 | ||||||
テクニカルレポートNo. | ||||||
CSSE-1 | ||||||
版 | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
資料タイプ | ||||||
内容記述タイプ | Other | |||||
内容記述 | Technical Report |