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Maximum likelihood parameter estimation by model augmentation with applications to the extended four-parameter generalized gamma distribution
http://hdl.handle.net/10228/500
http://hdl.handle.net/10228/500e4d3569a-0da7-4d7f-b3a5-f344014dfd02
名前 / ファイル | ライセンス | アクション |
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paper.9-13-2000=11012007.pdf (213.8 kB)
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Item type | 学術雑誌論文 = Journal Article(1) | |||||
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公開日 | 2007-12-11 | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
タイトル | ||||||
タイトル | Maximum likelihood parameter estimation by model augmentation with applications to the extended four-parameter generalized gamma distribution | |||||
言語 | ||||||
言語 | eng | |||||
著者 |
廣瀬, 英雄
× 廣瀬, 英雄 |
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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. A newly proposed extended model of thefour-parameter generalized gamma distribution includes the three-parameter generalizedextreme-value distribution which includes the two-parameter Gumbel distribution. Theserelationships allow us to construct the maximum likelihood parameter estimation procedurefrom simpler models to more complex models. This method works successfully whenthe solution is located in the interior of the parameter space. The continuation method isused for the model augmentation. The likelihood equations for the four-parameter generalizedgamma distribution does not always have solutions in the interior of the parameterspace; the continuation method, however, leads us to find solutions on the boundary or atthe corner of the parameter space. | |||||
書誌情報 |
Mathematics and Computers in Simulation 巻 54, 号 1-3, p. 81-97, 発行日 2000-11-30 |
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出版社 | ||||||
出版者 | Elsevier | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1016/S0378-4754(00)00201-9 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0378-4754 | |||||
著作権関連情報 | ||||||
権利情報 | Copyright (c) 2000 IMACS. Published by Elsevier Science Ltd. | |||||
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 | Extended gamma distribution | |||||
出版タイプ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
査読の有無 | ||||||
値 | yes | |||||
資料タイプ | ||||||
内容記述タイプ | Other | |||||
内容記述 | Journal Article | |||||
著者別名 | ||||||
姓名 | Hirose, Hideo | |||||
言語 | en | |||||
姓名 | 廣瀬, 英雄 | |||||
言語 | ja | |||||
姓名 | ヒロセ, ヒデオ | |||||
言語 | ja-Kana | |||||
著者所属 | ||||||
Department of Control Engineering and Science, Kyushu Institute of Technology, Iizuka, Fukuoka 820-8502, Japan | ||||||
情報源 | ||||||
識別子タイプ | URI | |||||
関連識別子 | http://www.sciencedirect.com/science/journal/03784754 | |||||
関連名称 | http://www.sciencedirect.com/science/journal/03784754 |