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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/76958


    Title: Correlation and the time interval in multiple regression models
    Authors: Jea, R.;Lin, Jin-Lung;Su, C.-T.
    林金龍
    Contributors: 經濟系
    Keywords: Mathematical models;Parameter estimation;Set theory;Correlation coefficient;Partial regression coefficient;Time interval;Regression analysis
    Date: 2005-04
    Issue Date: 2015-07-27 14:37:04 (UTC+8)
    Abstract: 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.
    Relation: European Journal of Operational Research, 162(2), 433-441
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1016/j.ejor.2003.07.020
    DOI: 10.1016/j.ejor.2003.07.020
    Appears in Collections:[經濟學系] 期刊論文

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