{"created":"2023-05-15T15:29:04.698258+00:00","id":1276,"links":{},"metadata":{"_buckets":{"deposit":"a0b7ec25-d5d7-4026-9413-a867366c7ddd"},"_deposit":{"created_by":17,"id":"1276","owners":[17],"pid":{"revision_id":0,"type":"depid","value":"1276"},"status":"published"},"_oai":{"id":"oai:barrel.repo.nii.ac.jp:00001276","sets":["1:29","4"]},"author_link":["32770","2868"],"item_1_biblio_info_5":{"attribute_name":"bibliographic_information","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1999","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"250","bibliographicPageStart":"235","bibliographicVolumeNumber":"26","bibliographic_titles":[{"bibliographic_title":"Behaviormetrika","bibliographic_titleLang":"en"}]}]},"item_1_description_18":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"A latent variable model for observed variables representing frequencies is proposed. The data type for the model is a subjects by variables two-way frequency table. The model has two groups of latent variables. The first group of latent variables represents the characteristics of subjects and corresponds to common factors in factor analysis. On the other hand, each of latent variables in the second group is related to one of the manifest variables and corresponds to a specific factor in factor analysis. The manifest variables in the model, when given the values of common latent variables, follow the negative binomial distributions. The latent variables in the first and second groups are integrated out of the model. The parameters in the model are estimated by the marginal maximum likelihood method, using a kind of the EM algorithm. The communality, specificity, and reliability for an observed variable are defined.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_1_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"32770","nameIdentifierScheme":"WEKO"}],"names":[{"name":"小笠原, 春彦","nameLang":"ja"}]}]},"item_1_publisher_6":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"The Behaviormetric Society of Japan","subitem_publisher_language":"en"}]},"item_1_relation_8":{"attribute_name":"item_1_relation_8","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"info:doi/10.2333/bhmk.26.235","subitem_relation_type_select":"DOI"}}]},"item_1_rights_13":{"attribute_name":"出版社版URI","attribute_value_mlt":[{"subitem_rights":"http://joi.jlc.jst.go.jp/JST.Journalarchive/bhmk1974/26.235","subitem_rights_language":"ja"}]},"item_1_rights_14":{"attribute_name":"著作権注記","attribute_value_mlt":[{"subitem_rights":"ファイルの原本はJSTで公開されているものである。","subitem_rights_language":"ja"}]},"item_1_source_id_11":{"attribute_name":"item_1_source_id_11","attribute_value_mlt":[{"subitem_source_identifier":"AA12022276","subitem_source_identifier_type":"NCID"}]},"item_1_source_id_7":{"attribute_name":"ISSN / EISSN","attribute_value_mlt":[{"subitem_source_identifier":"1349-6964","subitem_source_identifier_type":"EISSN"}]},"item_1_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"417","subitem_subject_language":"ja","subitem_subject_scheme":"NDC"}]},"item_1_subject_17":{"attribute_name":"NIIサブジェクト","attribute_value_mlt":[{"subitem_subject":"数学","subitem_subject_language":"ja","subitem_subject_scheme":"Other"}]},"item_1_version_type_15":{"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":"Ogasawara, Haruhiko","creatorNameLang":"en","creatorNameType":"Personal"}],"nameIdentifiers":[{"nameIdentifier":"2868","nameIdentifierScheme":"WEKO"}]}]},"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":"BHMK26_235.pdf","filesize":[{"value":"654.7 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"BHMK26_235.pdf","url":"https://barrel.repo.nii.ac.jp/record/1276/files/BHMK26_235.pdf"},"version_id":"dc540fb0-ad24-4d3c-b4f8-544240a17ed9"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"negative binomial distribution","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Poisson distribution","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"specific factor","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"communality","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"marginal maximum likelihood","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"frequency table","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"item_resource_type","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Negative binomial factor analysis.","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Negative binomial factor analysis.","subitem_title_language":"en"}]},"item_type_id":"1","owner":"17","path":["4","29"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2008-12-05"},"publish_date":"2008-12-05","publish_status":"0","recid":"1276","relation_version_is_last":true,"title":["Negative binomial factor analysis."],"weko_creator_id":"17","weko_shared_id":-1},"updated":"2025-02-17T07:30:20.496177+00:00"}