{"created":"2023-05-15T11:55:28.421195+00:00","id":413,"links":{},"metadata":{"_buckets":{"deposit":"a4942dee-7b4b-4088-a758-adf48359249f"},"_deposit":{"created_by":14,"id":"413","owners":[14],"pid":{"revision_id":0,"type":"depid","value":"413"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00000413","sets":["12:19"]},"author_link":["879"],"item_24_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1999-04-01","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{"bibliographic_title":"Technical Report in Computer Science and Systems Engineering","bibliographic_titleLang":"en"}]}]},"item_24_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"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.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_24_publisher_7":{"attribute_name":"出版社","attribute_value_mlt":[{"subitem_publisher":"九州工業大学　","subitem_publisher_language":"ja"}]},"item_24_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1344-8803","subitem_source_identifier_type":"PISSN"}]},"item_24_text_58":{"attribute_name":"テクニカルレポートNo.","attribute_value_mlt":[{"subitem_text_value":"CSSE-1"}]},"item_24_version_type_59":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hirose, Hideo","creatorNameLang":"en"},{"creatorName":"廣瀬, 英雄","creatorNameLang":"ja"},{"creatorName":"ヒロセ, ヒデオ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2008-01-18"}],"displaytype":"detail","filename":"csse-1.pdf","filesize":[{"value":"176.2 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"csse-1.pdf","url":"https://kyutech.repo.nii.ac.jp/record/413/files/csse-1.pdf"},"version_id":"52c47997-fcf4-4b87-89e4-cb96f04ad383"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Maximum likelihood estimation","subitem_subject_scheme":"Other"},{"subitem_subject":"Model augmentation","subitem_subject_scheme":"Other"},{"subitem_subject":"Continuation method","subitem_subject_scheme":"Other"},{"subitem_subject":"Generalized extreme-value distribution","subitem_subject_scheme":"Other"},{"subitem_subject":"Extreme-value distribution","subitem_subject_scheme":"Other"},{"subitem_subject":"Weibull distribution","subitem_subject_scheme":"Other"},{"subitem_subject":"Uniform distribution","subitem_subject_scheme":"Other"},{"subitem_subject":"Extended gamma distribution","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"technical report","resourceuri":"http://purl.org/coar/resource_type/c_18gh"}]},"item_title":"Maximum likelihood parameter estimation by model augmentation with application to the extended four-parameter generalized gamma distribution","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Maximum likelihood parameter estimation by model augmentation with application to the extended four-parameter generalized gamma distribution","subitem_title_language":"en"}]},"item_type_id":"24","owner":"14","path":["19"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2008-01-18"},"publish_date":"2008-01-18","publish_status":"0","recid":"413","relation_version_is_last":true,"title":["Maximum likelihood parameter estimation by model augmentation with application to the extended four-parameter generalized gamma distribution"],"weko_creator_id":"14","weko_shared_id":-1},"updated":"2023-11-20T01:34:46.326528+00:00"}