Grey Prediction of Economy Based on Improved GM (1, 1) Model
Abstract
According to the characters of few economic forecasting data and complicated action mechanism, this paper makes use of the time sequence prediction theory of improved grey GM (1, 1) model to predict China’s economic contraction years, overheating years and economic cycle, and analyses the important function of grey prediction model in the economic forecasts.
Keywords
References
[1] Astrakhan, M., et al. (1976, June). System relational approach to database management. ACM Transactions on Database Systems, 1(2), 97-137.
[2] Banish. (1999). The detection of earnings manipulation. Working Paper.
[3] Albrecht, W. S. (2005). Fraud bring light to the dark side of business. Richard D. Irwin Inc.
[4] Lin, G. C. S., & Yi, F. (2001). Urbanization of capital or capitalization on urban land? Land development and local public finance in urbanizing China. Urban Geography, 32(1), 50-79.
[5] Robalino, J. A. (2007). Land conservation policies and income distribution: Who bears the burden of our environmental efforts? Environment and Development Economics, 12(4), 521-533.
[6] Smirlock, M. (1985). Evidence on the relationship between construction and profitability in banking. Journal of Money, Credit and Banking, 17.
[7] Prowse, S. D. (1992). The structure of corporate ownership in Japan. Journal of Finance, (3), 1121–1140 .
[8] Maudos, J. (1998). Market structure and performance in Spanish banking using a direct measure of efficiency. Applied Financial Economics.
[9] Margaret, E. S. (2004). Competing models of firm profitability. International Journal of
Industrial Organization, (22).
[10] Feeney, L., & Nilsson, M. (2001). Investigating the energy consumption of a wireless network interface in an ad hoc networking environment.
[11] Clementi, A., Crescenzi, P., Penna, P., Rossi, G., & Vocca. P. (2001). On the complexity of computing minimum energy consumption broadcast sub graphs. Lecture Notes in Computer Science, 121-131.
[12] Feeney, L. (2001). An energy consumption model for performance analysis of routing protocols for mobile Ad Hoc networks. Mobile Networks and Applications, 6(3), 239-249.
DOI: http://dx.doi.org/10.3968/5723
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