{"created":"2023-05-15T15:30:17.690962+00:00","id":2797,"links":{},"metadata":{"_buckets":{"deposit":"9561a5cf-a22e-485d-af21-3d2cb08f6b49"},"_deposit":{"created_by":3,"id":"2797","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"2797"},"status":"published"},"_oai":{"id":"oai:barrel.repo.nii.ac.jp:00002797","sets":["1:477"]},"author_link":["5970","5973","5972","5971"],"item_1_biblio_info_5":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2008-06","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"143","bibliographicPageStart":"131","bibliographicVolumeNumber":"38","bibliographic_titles":[{"bibliographic_title":"Journal of the Japan Statistical Society"}]}]},"item_1_description_18":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This paper proposes efficient estimation methods of unknown parameters when frequencies as well as local moments are available in grouped data. Assuming the original data is an i.i.d. sample from a parametric density with unknown parameters, we obtain the joint density of frequencies and local moments, and propose a maximum likelihood (ML) estimator. We further compare it with the generalized method of moments (GMM) estimator and prove these two estimators are asymptotically equivalent in the first order. Based on the ML method, we propose to use the Akaike information criterion (AIC) for model selection. Monte Carlo experiments show that the estimators perform remarkably well, and AIC selects the right model with high frequency.","subitem_description_type":"Abstract"}]},"item_1_publisher_6":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"日本統計学会"}]},"item_1_relation_8":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.14490/jjss.38.131","subitem_relation_type_select":"DOI"}}]},"item_1_rights_13":{"attribute_name":"出版社版URI","attribute_value_mlt":[{"subitem_rights":"http://ci.nii.ac.jp/naid/110006835618/"}]},"item_1_rights_14":{"attribute_name":"著作権注記","attribute_value_mlt":[{"subitem_rights":"本文データは日本統計学会の許諾に基づきCiNiiから複製したものである"}]},"item_1_source_id_11":{"attribute_name":"書誌ID（NCID）","attribute_value_mlt":[{"subitem_source_identifier":"AA11510536","subitem_source_identifier_type":"NCID"}]},"item_1_source_id_7":{"attribute_name":"ISSN / EISSN","attribute_value_mlt":[{"subitem_source_identifier":"0389-5602","subitem_source_identifier_type":"ISSN"}]},"item_1_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"330","subitem_subject_scheme":"NDC"}]},"item_1_subject_17":{"attribute_name":"NIIサブジェクト","attribute_value_mlt":[{"subitem_subject":"経済学","subitem_subject_scheme":"Other"}]},"item_1_version_type_15":{"attribute_name":"テキストバージョン","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":"Hitomi, Kohtaro"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Liu, Qingfeng"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nishiyama, Yoshihiko"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Sueishi, Naoya"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2016-01-23"}],"displaytype":"detail","filename":"110006835618.pdf","filesize":[{"value":"652.2 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"110006835618.pdf","url":"https://barrel.repo.nii.ac.jp/record/2797/files/110006835618.pdf"},"version_id":"6e41b33c-c858-424b-9b15-0678ac5699be"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"AIC","subitem_subject_scheme":"Other"},{"subitem_subject":"GMM","subitem_subject_scheme":"Other"},{"subitem_subject":"grouped data","subitem_subject_scheme":"Other"},{"subitem_subject":"local moments","subitem_subject_scheme":"Other"},{"subitem_subject":"MLE","subitem_subject_scheme":"Other"},{"subitem_subject":"model selection","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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Efficient Estimation and Model Selection for Grouped Data with Local Moments","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Efficient Estimation and Model Selection for Grouped Data with Local Moments"}]},"item_type_id":"1","owner":"3","path":["4","477"],"pubdate":{"attribute_name":"公開日","attribute_value":"2009-09-15"},"publish_date":"2009-09-15","publish_status":"0","recid":"2797","relation_version_is_last":true,"title":["Efficient Estimation and Model Selection for Grouped Data with Local Moments"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-07-20T07:46:32.402136+00:00"}