{"created":"2021-03-01T07:01:58.735353+00:00","id":42131,"links":{},"metadata":{"_buckets":{"deposit":"483544c0-a82f-468b-9aa4-2cf47a9d933a"},"_deposit":{"id":"42131","owners":[],"pid":{"revision_id":0,"type":"depid","value":"42131"},"status":"published"},"_oai":{"id":"oai:repository.dl.itc.u-tokyo.ac.jp:00042131","sets":["62:7433:7434","9:7435:7436"]},"item_8_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2009-12","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"CIRJE-F-702","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":"The linear mixed models (LMM) and the empirical best linear unbiased predictor (EBLUP) induced from LMM have been well studied and extensively used for a long time in many applications. Of these, EBLUP in small area estimation has been recognized as a useful tool in various practical statistics. In this paper, we give a review on LMM and EBLUP from a aspect of small area estimation. Especially, we explain why EBLUP is likely to be reliable. The reason is that EBLUP possesses the shrinkage function and the pooling effects as desirable properties, which arise from the setup of random effects and common paramers in LMM. Such important properties of EBLUP are clarified as well as some recent results of the mean squared error estimation, the confidence interval and the variable selection procedures are summarized.","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/2009/2009cf702ab.html","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"}]},"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":"96966","nameIdentifierScheme":"WEKO"}]}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Akaike information criterion","subitem_subject_scheme":"Other"},{"subitem_subject":"Bartlett correction","subitem_subject_scheme":"Other"},{"subitem_subject":"Baysian information criterion","subitem_subject_scheme":"Other"},{"subitem_subject":"best linear unbiased predictor","subitem_subject_scheme":"Other"},{"subitem_subject":"confidence interval","subitem_subject_scheme":"Other"},{"subitem_subject":"empirical Bayes procedure","subitem_subject_scheme":"Other"},{"subitem_subject":"Fay-Herriot model","subitem_subject_scheme":"Other"},{"subitem_subject":"linear mixed model","subitem_subject_scheme":"Other"},{"subitem_subject":"maximum likelihood estimator","subitem_subject_scheme":"Other"},{"subitem_subject":"mean squared error","subitem_subject_scheme":"Other"},{"subitem_subject":"nested error regression model","subitem_subject_scheme":"Other"},{"subitem_subject":"restricted maximum likelihood estimator","subitem_subject_scheme":"Other"},{"subitem_subject":"small area estimation","subitem_subject_scheme":"Other"},{"subitem_subject":"Wald test","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 Review of Linear Mixed Models and Small Area Estimation","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A Review of Linear Mixed Models and Small Area Estimation"}]},"item_type_id":"8","owner":"1","path":["7436","7434"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-05-31"},"publish_date":"2013-05-31","publish_status":"0","recid":"42131","relation_version_is_last":true,"title":["A Review of Linear Mixed Models and Small Area Estimation"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2022-12-19T04:17:23.725044+00:00"}