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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
https://fut.repo.nii.ac.jp/records/2361
https://fut.repo.nii.ac.jp/records/23610429d2b1-11ec-4622-a063-377989f4639f
名前 / ファイル | ライセンス | アクション |
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2021-03-19 | |||||
タイトル | ||||||
タイトル | 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 | |||||
タイトル | ||||||
タイトル | Time Series Analysis of Daily Restaurant Sales: Extraction of Trend, Day-of-the-Week Effect, and Rain Effect | |||||
言語 | en | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | State-space models, Kalman Filter, Seasonality, Marketing mix modeling | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
著者 |
千葉, 賢
× 千葉, 賢× Masaru, Chiba |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 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. | |||||
書誌情報 |
福井工業大学研究紀要 号 50, p. 134-146, 発行日 2020-10-30 |
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出版者 | ||||||
出版者 | 福井工業大学 | |||||
書誌レコードID | ||||||
識別子タイプ | NCID | |||||
関連識別子 | TF10133413 | |||||
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出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |