Abstract
The principle of the chemical chromatography analysis method was introduced into the chromatography economic analysis in order to show the role of the retention time in economic research. Based on the plate theory, the economic replacement of the concept of the retention time was carried out. With the assumption of separation, the bonus behaviors of the listed companies were studied to model the separation process. The results show it is feasible to classify the complex economic phenomena using the chromatography analysis method.
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You, S., Wu, B., Shen, P., Mei, M., Su, Z.: Theoretical prospect of the complex economic phenomenon classification method innovation – reference and thinking based on the chemical “chromatography analysis method”. Tong Ji Yu Jue Ce 7 (2011)
You, S., Wu, B., Mei, M.: Foundation research on applying the chromatography analysis principle in the economic field – taking the financial securities investment and fast moving consumer goods industry as examples. Tong Ji Yu Jue Ce 11 (2011)
Shen, P., Zhang, P., Mao, K., Li, G., You, S.: Chromatography economy analysis method replacement series research, distribution ratio. Tong Ji Yu Jue Ce 17 (2011)
Su, L., Zheng, Y.: Chromatography analysis method. Tsinghua University Press, Beijing (2009)
Liu, Z.-L., Li, C.-J.: Quantitative Analysis on the Creation of Dualistic Interdisplinary Science. Studies in Dialectics of Nature 20 (2004)
Zhou, Y., Wan, A.T.K., Xie, S., et al.: Wavelet analysis of change-points in a non-parametric regression with heteroscedastic variance. Journal of Econometrics 159 (2010)
Ren, Q., Li, S., Qiao, D., et al.: Application of key factor analysis method for elastic coefficient of highway freight transportation, Chengdu, China (2010)
Noorossana, R., Eyvazian, M., Amiri, A., et al.: Statistical monitoring of multivariate multiple linear regression profiles in phase i with calibration application. Quality and Reliability Engineering International 26 (2010)
Yu, F.J., Tsou, C.S., Huang, K.I., et al.: An economic-statistical design of x control charts with multiple assignable causes. Journal of Quality 17 (2010)
Florez Lopez, R.: Effects of missing data in credit risk scoring. A comparative analysis of methods to achieve robustness in the absence of sufficient data. Houndmills, Basingstoke, Hants, RG21 6XS, United Kingdom (2010)
You, S., Bao, L., Zhong, S., Guan, X., Wang, L.: Chromatography economy analysis method replacement series research, trays theory. Tong Ji Yu Jue Ce 1 (2012)
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© 2012 Springer-Verlag Berlin Heidelberg
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Shen, P., You, S. (2012). Replacement Study of the Retention Time in Chromatography Ecomomic Analysis. In: Liu, B., Ma, M., Chang, J. (eds) Information Computing and Applications. ICICA 2012. Lecture Notes in Computer Science, vol 7473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34062-8_85
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DOI: https://doi.org/10.1007/978-3-642-34062-8_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34061-1
Online ISBN: 978-3-642-34062-8
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