{"created":"2025-02-21T03:28:42.656811+00:00","id":2006679,"links":{},"metadata":{"_buckets":{"deposit":"aede0acb-10fc-4b69-969b-db0d02f57836"},"_deposit":{"created_by":41,"id":"2006679","owners":[41],"pid":{"revision_id":0,"type":"depid","value":"2006679"},"status":"published"},"_oai":{"id":"oai:hiroshima.repo.nii.ac.jp:02006679","sets":["1730444907710"]},"author_link":[],"item_1617186331708":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_title":"Bridging the Gap Between B-Spline and Polynomial Regression Model","subitem_title_language":"en"}]},"item_1617186419668":{"attribute_name":"Creator","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Satoh, Kenichi","creatorNameLang":"en"}],"familyNames":[{"familyName":"Satoh","familyNameLang":"en"}],"givenNames":[{"givenName":"Kenichi","givenNameLang":"en"}]},{"creatorNames":[{"creatorName":"Yanagihara, Hirokazu","creatorNameLang":"en"}],"familyNames":[{"familyName":"Yanagihara","familyNameLang":"en"}],"givenNames":[{"givenName":"Hirokazu","givenNameLang":"en"}]},{"creatorNames":[{"creatorName":"Ohtaki, Megu","creatorNameLang":"en"}],"familyNames":[{"familyName":"Ohtaki","familyNameLang":"en"}],"givenNames":[{"givenName":"Megu","givenNameLang":"en"}]}]},"item_1617186476635":{"attribute_name":"Access Rights","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_1617186499011":{"attribute_name":"Rights","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2003 Taylor & Francis. This is an electronic version of an article published in \"Communications in Statistics - Simulation and Computation Vol. 32 Issue 1 pp.179-190\" Disability and Rehabilitation is available at: http://dx.doi.org/10.1081/SAC-120013120"}]},"item_1617186609386":{"attribute_name":"Subject","attribute_value_mlt":[{"subitem_subject":"B-spline","subitem_subject_scheme":"Other"},{"subitem_subject":"information criterion","subitem_subject_scheme":"Other"},{"subitem_subject":"nonparametric regression","subitem_subject_scheme":"Other"},{"subitem_subject":"semi-parametric regression","subitem_subject_scheme":"Other"},{"subitem_subject":"simple regression","subitem_subject_scheme":"Other"}]},"item_1617186626617":{"attribute_name":"Description","attribute_value_mlt":[{"subitem_description":"In this paper, we propose a method to select the better of two types of models: a polynomial with low degree and a S-spline model, using the commoninformation criterion. The methodology can be directly applied to semi-parametric multiple regression analysis.","subitem_description_language":"en"}]},"item_1617186643794":{"attribute_name":"Publisher","attribute_value_mlt":[{"subitem_publisher":"Taylor & Francis"}]},"item_1617186702042":{"attribute_name":"Language","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_1617186920753":{"attribute_name":"Source Identifier","attribute_value_mlt":[{"subitem_source_identifier":"0361-0918","subitem_source_identifier_type":"ISSN"},{"subitem_source_identifier":"AA10512671","subitem_source_identifier_type":"NCID"}]},"item_1617187024783":{"attribute_name":"Page Start","attribute_value_mlt":[{"subitem_start_page":"179"}]},"item_1617187056579":{"attribute_name":"Bibliographic Information","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2003-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"190","bibliographicPageStart":"179","bibliographicVolumeNumber":"32","bibliographic_titles":[{"bibliographic_title":"Communications in Statistics Simulation and Computation"},{"bibliographic_title":"Communications in Statistics Simulation and Computation"}]}]},"item_1617258105262":{"attribute_name":"Resource Type","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_1617265215918":{"attribute_name":"Version Type","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_b1a7d7d4d402bcce","subitem_version_type":"AO"}]},"item_1617353299429":{"attribute_name":"Relation","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1081/SAC-120013120","subitem_relation_type_select":"DOI"}},{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://dx.doi.org/10.1081/SAC-120013120","subitem_relation_type_select":"DOI"}}]},"item_1617605131499":{"attribute_name":"File","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2023-03-18"}],"displaytype":"simple","filename":"CSSC_32-1_179.pdf","filesize":[{"value":"345.8 KB"}],"mimetype":"application/pdf","url":{"objectType":"fulltext","url":"https://hiroshima.repo.nii.ac.jp/record/2006679/files/CSSC_32-1_179.pdf"},"version_id":"edb24586-5521-4b38-97e9-dd232cefcd7f"}]},"item_1732771732025":{"attribute_name":"旧ID","attribute_value":"20102"},"item_title":"Bridging the Gap Between B-Spline and Polynomial Regression Model","item_type_id":"40003","owner":"41","path":["1730444907710"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-03-18"},"publish_date":"2023-03-18","publish_status":"0","recid":"2006679","relation_version_is_last":true,"title":["Bridging the Gap Between B-Spline and Polynomial Regression Model"],"weko_creator_id":"41","weko_shared_id":-1},"updated":"2025-02-21T08:08:36.872062+00:00"}