{"created":"2023-06-20T15:11:28.966596+00:00","id":41149,"links":{},"metadata":{"_buckets":{"deposit":"1579fac9-8ea0-4dd8-acc8-93b6fb2750a1"},"_deposit":{"created_by":1,"id":"41149","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"41149"},"status":"published"},"_oai":{"id":"oai:jaxa.repo.nii.ac.jp:00041149","sets":["1887:1893","1896:1898:1913:1917"]},"author_link":["450774","450775"],"item_3_alternative_title_2":{"attribute_name":"その他のタイトル（英）","attribute_value_mlt":[{"subitem_alternative_title":"Estimation of aircraft aerodynamic derivatives with the Total Least Squares Method"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1992-04","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"23","bibliographicPageStart":"1","bibliographicVolumeNumber":"1150","bibliographic_titles":[{"bibliographic_title":"航空宇宙技術研究所報告"},{"bibliographic_title":"Technical Report of National Aerospace Laboratory","bibliographic_titleLang":"en"}]}]},"item_3_description_16":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"目的変数が説明変数と未知係数の積で表される線形モデル方程式を考える。最小2乗法は目的変数のみに計測誤差が含まれると仮定して未知係数を推定する手法であるが、説明変数に計測誤差が含まれる場合、最小2乗法で求めた係数はバイアス誤差を含み、係数の標準偏差は実際より小さく推定される。TLS(全体最小2乗)法は、説明変数および目的変数の双方に計測誤差が含まれると仮定して、未知係数を求める手法である。TLS法は最小2乗法を一般化したものといえる。TLS法によって推定された係数はバイアス誤差を含まず、係数の標準偏差も正しく推定される。本報告書では、まず、TLS法の概念、計算アルゴリズムおよび特性を示し、最小2乗法と比較する。次に、飛行試験データからのTLS法による空力微係数の推定例を示す。","subitem_description_type":"Abstract"}]},"item_3_description_17":{"attribute_name":"抄録（英）","attribute_value_mlt":[{"subitem_description":"This report describes the Total Least Squares (TLS) method estimates unknown linear equation coefficients assuming that both the explanatory variables and the objective variable are affected by measurement errors. This method is one of the generalizations of the conventionally used Least Squares (LS) method. The concept, algorithm, and characteristics of the TLS method are compared with those of the LS method. It is shown that the TLS method gives the unbiased coefficients and the correct standard deviations of them. In addition, an example of estimating aerodynamic derivatives from flight test data is presented.","subitem_description_type":"Other"}]},"item_3_description_32":{"attribute_name":"資料番号","attribute_value_mlt":[{"subitem_description":"資料番号: AA0004179000","subitem_description_type":"Other"}]},"item_3_description_33":{"attribute_name":"レポート番号","attribute_value_mlt":[{"subitem_description":"レポート番号: NAL TR-1150","subitem_description_type":"Other"}]},"item_3_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"航空宇宙技術研究所"}]},"item_3_publisher_9":{"attribute_name":"出版者（英）","attribute_value_mlt":[{"subitem_publisher":"National Aerospace Laboratory (NAL)"}]},"item_3_source_id_21":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0389-4010","subitem_source_identifier_type":"ISSN"}]},"item_3_text_6":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"航空宇宙技術研究所 飛行実験部"}]},"item_3_text_7":{"attribute_name":"著者所属（英）","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"National Aerospace Laboratory Flight Research Division"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"増井, 和也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masui, Kazuya","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-01-27"}],"displaytype":"detail","filename":"naltr01150.pdf","filesize":[{"value":"1.6 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"naltr01150.pdf","url":"https://jaxa.repo.nii.ac.jp/record/41149/files/naltr01150.pdf"},"version_id":"a71235cd-3e94-49c4-8c6b-3d2b82134bd0"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"空力微係数","subitem_subject_scheme":"Other"},{"subitem_subject":"安定微係数","subitem_subject_scheme":"Other"},{"subitem_subject":"運動解析","subitem_subject_scheme":"Other"},{"subitem_subject":"飛行試験","subitem_subject_scheme":"Other"},{"subitem_subject":"データ解析","subitem_subject_scheme":"Other"},{"subitem_subject":"パラメータ同定","subitem_subject_scheme":"Other"},{"subitem_subject":"最小2乗法","subitem_subject_scheme":"Other"},{"subitem_subject":"全体最小2乗法","subitem_subject_scheme":"Other"},{"subitem_subject":"誤差解析","subitem_subject_scheme":"Other"},{"subitem_subject":"誤差最適化","subitem_subject_scheme":"Other"},{"subitem_subject":"回帰分析","subitem_subject_scheme":"Other"},{"subitem_subject":"多変量回帰モデル","subitem_subject_scheme":"Other"},{"subitem_subject":"測定誤差","subitem_subject_scheme":"Other"},{"subitem_subject":"バイアス誤差","subitem_subject_scheme":"Other"},{"subitem_subject":"観測データ","subitem_subject_scheme":"Other"},{"subitem_subject":"aerodynamic derivative","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"stability derivative","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"motion analysis","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"flight test","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"data analysis","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"parameter identification","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"bias error","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"least squares method","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"total least squares method","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"error analysis","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"error optimization","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"regression analysis","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"multivariate regression model","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"measurement error","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"observation data","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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":"TLS(Total　Least　Squares)法を用いた航空機の空力微係数の推定","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"TLS(Total　Least　Squares)法を用いた航空機の空力微係数の推定"}]},"item_type_id":"3","owner":"1","path":["1893","1917"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-03-26"},"publish_date":"2015-03-26","publish_status":"0","recid":"41149","relation_version_is_last":true,"title":["TLS(Total　Least　Squares)法を用いた航空機の空力微係数の推定"],"weko_creator_id":"1","weko_shared_id":1},"updated":"2023-06-20T19:13:08.015844+00:00"}