{"created":"2021-03-01T07:02:56.299433+00:00","id":42977,"links":{},"metadata":{"_buckets":{"deposit":"4857ebce-5b2e-4077-b8d8-772ef247049c"},"_deposit":{"id":"42977","owners":[],"pid":{"revision_id":0,"type":"depid","value":"42977"},"status":"published"},"_oai":{"id":"oai:repository.dl.itc.u-tokyo.ac.jp:00042977"},"item_8_biblio_info_7":{"attribute_name":"\u66f8\u8a8c\u60c5\u5831","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2000-09","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"CF-89","bibliographic_titles":[{"bibliographic_title":"Discussion paper series. CIRJE-F"}]}]},"item_8_description_13":{"attribute_name":"\u30d5\u30a9\u30fc\u30de\u30c3\u30c8","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_8_description_5":{"attribute_name":"\u6284\u9332","attribute_value_mlt":[{"subitem_description":"We propose a test of equality of two covariance matrices based on the maximum standardized di erence of scalar covariances of two sample covariance matrices.We derive the tail probability of the asymptotic null distribution of the test statistic by the tube method.However the usual formal tube formula has to be suitably modi ed,because in this case the index set, around which the tube s formed,has zero critical radius.","subitem_description_type":"Abstract"}]},"item_8_description_6":{"attribute_name":"\u5185\u5bb9\u8a18\u8ff0","attribute_value_mlt":[{"subitem_description":"Contemporary Mathematics, 287, 2001, p.283-301. \u63b2\u8f09\u4e88\u5b9a.","subitem_description_type":"Other"},{"subitem_description":"\u672c\u6587\u30d5\u30a3\u30eb\u306f\u30ea\u30f3\u30af\u5148\u3092\u53c2\u7167\u306e\u3053\u3068","subitem_description_type":"Other"}]},"item_8_publisher_20":{"attribute_name":"\u51fa\u7248\u8005","attribute_value_mlt":[{"subitem_publisher":"\u65e5\u672c\u7d4c\u6e08\u56fd\u969b\u5171\u540c\u30bb\u30f3\u30bf\u30fc"}]},"item_8_relation_25":{"attribute_name":"\u95a2\u4fc2URI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://www.cirje.e.u-tokyo.ac.jp/research/dp/2000/2000cf89.pdf","subitem_relation_type_select":"URI"}}]},"item_8_source_id_10":{"attribute_name":"\u66f8\u8a8c\u30ec\u30b3\u30fc\u30c9ID","attribute_value_mlt":[{"subitem_source_identifier":"AA11450569","subitem_source_identifier_type":"NCID"}]},"item_8_subject_15":{"attribute_name":"\u65e5\u672c\u5341\u9032\u5206\u985e\u6cd5","attribute_value_mlt":[{"subitem_subject":"330","subitem_subject_scheme":"NDC"}]},"item_8_text_21":{"attribute_name":"\u51fa\u7248\u8005\u5225\u540d","attribute_value_mlt":[{"subitem_text_value":"Center for International Research on the Japanese Economy"}]},"item_8_text_4":{"attribute_name":"\u8457\u8005\u6240\u5c5e","attribute_value_mlt":[{"subitem_text_value":"University of Tokyo"},{"subitem_text_value":"Institute of Statistical Mathematics"}]},"item_access_right":{"attribute_name":"\u30a2\u30af\u30bb\u30b9\u6a29","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"\u8457\u8005","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takemura, Akimichi"}],"nameIdentifiers":[{"nameIdentifier":"98835","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kuriki, Satoshi"}],"nameIdentifiers":[{"nameIdentifier":"98836","nameIdentifierScheme":"WEKO"}]}]},"item_language":{"attribute_name":"\u8a00\u8a9e","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"\u8cc7\u6e90\u30bf\u30a4\u30d7","attribute_value_mlt":[{"resourcetype":"technical report","resourceuri":"http://purl.org/coar/resource_type/c_18gh"}]},"item_title":"Maximum Covariance Di erence Test for Equality of Two Covariance Matrices","item_titles":{"attribute_name":"\u30bf\u30a4\u30c8\u30eb","attribute_value_mlt":[{"subitem_title":"Maximum Covariance Di erence Test for Equality of Two Covariance Matrices"}]},"item_type_id":"8","owner":"1","path":["9/7435/7436","62/7433/7434"],"pubdate":{"attribute_name":"\u516c\u958b\u65e5","attribute_value":"2017-01-17"},"publish_date":"2017-01-17","publish_status":"0","recid":"42977","relation_version_is_last":true,"title":["Maximum Covariance Di erence Test for Equality of Two Covariance Matrices"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2021-03-02T02:04:21.857171+00:00"}