{"created":"2021-03-01T07:02:50.136372+00:00","id":42887,"links":{},"metadata":{"_buckets":{"deposit":"99cc80c9-cd16-46fa-b839-0d338037bb03"},"_deposit":{"id":"42887","owners":[],"pid":{"revision_id":0,"type":"depid","value":"42887"},"status":"published"},"_oai":{"id":"oai:repository.dl.itc.u-tokyo.ac.jp:00042887","sets":["62:7433:7434","9:7435:7436"]},"item_8_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2010-07","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"CIRJE-F-754","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 empirical best linear unbiased predictor (EBLUP) or the empirical Bayes estimator (EB) in the linear mixed model is recognized useful for the small area estimation, because it can increase the estimation precision by using the information from the related areas. Two of the measures of uncertainty of EBLUP is the estimation of the mean squared error (MSE) and the confidence interval, which have been studied under the second-order accuracy in the literature. This paper provides the general analytical results for these two measures in the unified framework, namely, we derive the conditions on the general consistent estimators of the variance components to satisfy the third-order accuracy in the MSE estimation and the confidence interval in the general linear mixed normal models. Those conditions are shown to be satisfied by not only the maximum likelihood (ML) and restricted maximum likelihood (REML), but also the other estimators including the Prasad-Rao and Fay-Herriot estimators in specific models.","subitem_description_type":"Abstract"}]},"item_8_description_6":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"Subsequently published in Journal of the Japan Statistical Society, 41, No.2, 93-119 (2011).","subitem_description_type":"Other"},{"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/2010/2010cf754ab.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":"98616","nameIdentifierScheme":"WEKO"}]}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"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":"higher-order correction","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"}]},"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":"On Measuring Uncertainty of Small Area Estimators with Higher Order Accuracy","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"On Measuring Uncertainty of Small Area Estimators with Higher Order Accuracy"}]},"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":"42887","relation_version_is_last":true,"title":["On Measuring Uncertainty of Small Area Estimators with Higher Order Accuracy"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2022-12-19T04:18:01.976770+00:00"}