政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/124802

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/124802

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政大機構典藏 > 商學院 > 國際經營管理英語碩士學程IMBA > 學位論文 > Item 140.119/124802

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题名:	時間序列模型於零售銷售預測的應用 An application of time series models to retail sales forecasting
作者:	阮宣浩 Nguyen, Xuan-Hoa
贡献者:	莊皓鈞 Chuang, Howard 阮宣浩 Nguyen, Xuan-Hoa
关键词:	預測時間序列模型訓練測試 Forecasting Time series Models Training Testing
日期:	2019
上传时间:	2019-08-07 16:22:02 (UTC+8)
摘要:	Nowadays, the retail industry is very competitive. Most companies in this industry are facing many problems to satisfy customers the most and to be the most efficient. One of the most important problems is to make sales forecasting. In the past, it is more up to experiences to make sales forecasting, therefore the accuracy is often not good. With the development of computer and AI, machine learning methods, in the present, it is easier and more accurate to make a forecast for sales. In this thesis, time series models are applied with the aid of R programming to make sales forecasting. Firstly, we go to understand the basic knowledge about time series models, then we take an example of forecasting sales for a retail shop to apply these methods, including average, naive, snaive, drift, exponential smoothing, ARIMA, dynamic regression models. In the end, we come up with a conclusion about what we did in this thesis.
參考文獻:	Brown, R. G. (1959). Statistical forecasting for inventory control. McGraw/Hill. Galit Shmueli, Kenneth C.Lichtendahl Jr (2015) Practical time series forecasting with R: a hand-on guide. Axelrod Schnall Publishers. Holt, C. E. (1957). Forecasting seasonals and trends by exponentially weighted averages (O.N.R. Memorandum No. 52). Carnegie Institute of Technology, Pittsburgh USA. https://www.kaggle.com/c/favorita-grocery-sales-forecasting/overview/description Hyndman, R.J., & Athanasopoulos, G. (2018) Forecasting: principles and practice, 2nd edition, OTexts: Melbourne, Australia. OTexts.com/fpp2 Wickham, H. (2016). ggplot2: Elegant graphics for data analysis (2nd ed). Springer. Winters, P. R. (1960). Forecasting sales by exponentially weighted moving averages. Management Science, 6, 324–342.
描述:	碩士國立政治大學國際經營管理英語碩士學位學程(IMBA) 106933064
資料來源:	http://thesis.lib.nccu.edu.tw/record/#G0106933064
数据类型:	thesis
DOI:	10.6814/NCCU201900291
显示于类别:	[國際經營管理英語碩士學程IMBA] 學位論文

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