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題名 Correlation and the time interval in multiple regression models
作者 Jea, R.;Lin, Jin-Lung;Su, C.-T.
林金龍
貢獻者 經濟系
關鍵詞 Mathematical models; Parameter estimation; Set theory; Correlation coefficient; Partial regression coefficient; Time interval; Regression analysis
日期 2005-04
上傳時間 27-Jul-2015 14:37:04 (UTC+8)
摘要 In this paper we investigate the time interval effect of multiple regression models in which some of the variables are additive and some are multiplicative. The effect on the partial regression and correlation coefficients is influenced by the selected time interval. We find that the partial regression and correlation coefficients between two additive variables approach one-period values as n increases. When one of the variables is multiplicative, they will approach zero in the limit. We also show that the decreasing speed of the n-period correlation coefficients between both multiplicative variables is faster than others, except that a one-period correlation has a higher positive value. The results of this paper can be widely applied in various fields where regression or correlation analyses are employed. © 2003 Elsevier B.V. All rights reserved.
關聯 European Journal of Operational Research, 162(2), 433-441
資料類型 article
DOI http://dx.doi.org/10.1016/j.ejor.2003.07.020
dc.contributor 經濟系
dc.creator (作者) Jea, R.;Lin, Jin-Lung;Su, C.-T.
dc.creator (作者) 林金龍zh_TW
dc.date (日期) 2005-04
dc.date.accessioned 27-Jul-2015 14:37:04 (UTC+8)-
dc.date.available 27-Jul-2015 14:37:04 (UTC+8)-
dc.date.issued (上傳時間) 27-Jul-2015 14:37:04 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/76958-
dc.description.abstract (摘要) In this paper we investigate the time interval effect of multiple regression models in which some of the variables are additive and some are multiplicative. The effect on the partial regression and correlation coefficients is influenced by the selected time interval. We find that the partial regression and correlation coefficients between two additive variables approach one-period values as n increases. When one of the variables is multiplicative, they will approach zero in the limit. We also show that the decreasing speed of the n-period correlation coefficients between both multiplicative variables is faster than others, except that a one-period correlation has a higher positive value. The results of this paper can be widely applied in various fields where regression or correlation analyses are employed. © 2003 Elsevier B.V. All rights reserved.
dc.format.extent 309237 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) European Journal of Operational Research, 162(2), 433-441
dc.subject (關鍵詞) Mathematical models; Parameter estimation; Set theory; Correlation coefficient; Partial regression coefficient; Time interval; Regression analysis
dc.title (題名) Correlation and the time interval in multiple regression models
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1016/j.ejor.2003.07.020
dc.doi.uri (DOI) http://dx.doi.org/10.1016/j.ejor.2003.07.020