{"created":"2023-06-20T13:44:22.709560+00:00","id":2361,"links":{},"metadata":{"_buckets":{"deposit":"965ff7b2-8657-405c-b4bc-02c0ba217af4"},"_deposit":{"created_by":2,"id":"2361","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"2361"},"status":"published"},"_oai":{"id":"oai:fut.repo.nii.ac.jp:00002361","sets":["1"]},"author_link":["17220","17219"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-10-30","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"50","bibliographicPageEnd":"146","bibliographicPageStart":"134","bibliographic_titles":[{"bibliographic_title":"福井工業大学研究紀要"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Daily sales of restaurants are affected by several factors such as a day of the week, holidays, and the weather. Therefore, a model decomposing a time series of sales into such factors would definitely be useful. The present study proposes a quantitative model for daily sales of a restaurant based on a state-space model framework, which helps in objectively understanding the characteristics of restaurant sales that were previously discussed only through on-site intuitions. In addition, this model was applied for three years to the daily sales data of a restaurant located adjacent to Fukui station. As a result, the trend was found to be significantly upward during the summer and year-end but declined during the autumn. It was also found that weather may significantly depress a restaurant's sales.","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"福井工業大学"}]},"item_10002_relation_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"TF10133413","subitem_relation_type_select":"NCID"}}]},"item_10002_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"千葉, 賢"}],"nameIdentifiers":[{"nameIdentifier":"17219","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Masaru, Chiba","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"17220","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2023-05-12"}],"displaytype":"detail","filename":"134-146.pdf","filesize":[{"value":"8.9 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"134-146.pdf","url":"https://fut.repo.nii.ac.jp/record/2361/files/134-146.pdf"},"version_id":"523d2e99-4c73-44a5-a63f-f72758100c3f"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"State-space models, Kalman Filter, Seasonality, Marketing mix modeling","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":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"曜日・祝日・降水量の影響を考慮した飲食店売上の時系列分析","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"曜日・祝日・降水量の影響を考慮した飲食店売上の時系列分析"},{"subitem_title":"Time Series Analysis of Daily Restaurant Sales: Extraction of Trend, Day-of-the-Week Effect, and Rain Effect","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"2","path":["1"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-19"},"publish_date":"2021-03-19","publish_status":"0","recid":"2361","relation_version_is_last":true,"title":["曜日・祝日・降水量の影響を考慮した飲食店売上の時系列分析"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-06-20T13:58:43.627708+00:00"}