{"created":"2021-03-01T07:02:51.219846+00:00","id":42903,"links":{},"metadata":{"_buckets":{"deposit":"5018c138-2b09-4b50-86e1-db94149ebbf9"},"_deposit":{"id":"42903","owners":[],"pid":{"revision_id":0,"type":"depid","value":"42903"},"status":"published"},"_oai":{"id":"oai:repository.dl.itc.u-tokyo.ac.jp:00042903","sets":["62:7433:7434","9:7435:7436"]},"item_8_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2011-01","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"CIRJE-F-786","bibliographic_titles":[{"bibliographic_title":"Discussion paper series. CIRJE-F"}]}]},"item_8_description_13":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_8_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This papThis paper studies minimaxity of estimators of a set of linear combinations of location parameters μi, l = 1, . . . , k under quadratic loss. When each location parameter is known to be positive, previous results about minimaxity or non-minimaxity are extended from the case of estimating a single linear combination, to estimating any number of linear combinations. Necessary and/or sufficient conditions for minimaxity of general estimators are derived. Particular attention is paid to the generalized Bayes estimator with respect to the uniform distribution and to the truncated version of the unbiased estimator (which is the maximum likelihood estimator for symmetric unimodal distributions). A necessary and sufficient condition for minimaxity of the uniform prior generalized Bayes estimator is particularly simple; If one estimates θ = Aµ where A is an l × k known matrix, the estimator is minimax if and only if (AAt)ij ≤ 0 for any i and j, (i ≠ j). This condition is also sufficient (but not necessary) for minimaxity of the MLE","subitem_description_type":"Abstract"}]},"item_8_description_6":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"本文フィルはリンク先を参照のこと","subitem_description_type":"Other"}]},"item_8_publisher_20":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"日本経済国際共同センター"}]},"item_8_relation_25":{"attribute_name":"関係URI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://www.cirje.e.u-tokyo.ac.jp/research/dp/2011/2011cf786ab.html","subitem_relation_type_select":"URI"}}]},"item_8_relation_29":{"attribute_name":"異版あり","attribute_value_mlt":[{"subitem_relation_type":"hasVersion","subitem_relation_type_id":{"subitem_relation_type_id_text":"http://doi.org/10.1016/j.jmva.2011.05.009","subitem_relation_type_select":"URI"}}]},"item_8_source_id_10":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11450569","subitem_source_identifier_type":"NCID"}]},"item_8_subject_15":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"335","subitem_subject_scheme":"NDC"}]},"item_8_text_21":{"attribute_name":"出版者別名","attribute_value_mlt":[{"subitem_text_value":"Center for International Research on the Japanese Economy"}]},"item_8_text_4":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Faculty of Economics, University of Tokyo"},{"subitem_text_value":"Department of Statistics, Rutgers University"}]},"item_access_right":{"attribute_name":"アクセス権","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":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kubokawa, Tatsuya"}],"nameIdentifiers":[{"nameIdentifier":"98658","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Strawderman, William E."}],"nameIdentifiers":[{"nameIdentifier":"98659","nameIdentifierScheme":"WEKO"}]}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Decision theory","subitem_subject_scheme":"Other"},{"subitem_subject":"generalized Bayes","subitem_subject_scheme":"Other"},{"subitem_subject":"linear combination","subitem_subject_scheme":"Other"},{"subitem_subject":"location parameter","subitem_subject_scheme":"Other"},{"subitem_subject":"location-scale family","subitem_subject_scheme":"Other"},{"subitem_subject":"maximum likelihood estimator","subitem_subject_scheme":"Other"},{"subitem_subject":"minimaxity","subitem_subject_scheme":"Other"},{"subitem_subject":"restricted parameter","subitem_subject_scheme":"Other"},{"subitem_subject":"restricted estimator","subitem_subject_scheme":"Other"},{"subitem_subject":"truncated estimator","subitem_subject_scheme":"Other"},{"subitem_subject":"quadratic loss","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":"A Unified Approach to Non-minimaxity of Sets of Linear Combinations of Restricted Location Estimators","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A Unified Approach to Non-minimaxity of Sets of Linear Combinations of Restricted Location Estimators"}]},"item_type_id":"8","owner":"1","path":["7436","7434"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-01-17"},"publish_date":"2017-01-17","publish_status":"0","recid":"42903","relation_version_is_last":true,"title":["A Unified Approach to Non-minimaxity of Sets of Linear Combinations of Restricted Location Estimators"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2022-12-19T04:18:01.594054+00:00"}