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The Morbidity of Multivariable Grey Model MGM

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  • Haixia Wang
  • Lingdi Zhao
  • Mingzhao Hu

Abstract

This paper proposes the morbidity of the multivariable grey prediction MGM model. Based on the morbidity of the differential equations, properties of matrix, and Gerschgorin Panel Theorem, we analyze the factors that affect the morbidity of the multivariable grey model and give a criterion to justify the morbidity of MGM . Finally, an example is presented to illustrate the practicality of our results.

Suggested Citation

  • Haixia Wang & Lingdi Zhao & Mingzhao Hu, 2017. "The Morbidity of Multivariable Grey Model MGM," International Journal of Differential Equations, Hindawi, vol. 2017, pages 1-5, November.
    • Handle: RePEc:hin:jnijde:2495686
    DOI: 10.1155/2017/2495686
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    Cited by:

    1. Mingzhe Sun & Lingdi Zhao, 2024. "Impact of Environmental Regulatory Types and Green Technological Innovation on Green Total Factor Productivity in Polluted Areas of China," Sustainability, MDPI, vol. 16(9), pages 1-17, May.
    2. Mingzhao Hu, 2022. "Multivariate understanding of income and expenditure in United States households with statistical learning," Computational Statistics, Springer, vol. 37(5), pages 2129-2160, November.
    3. Danlei Feng & Mingzhao Hu & Lingdi Zhao & Sha Liu, 2022. "The Impact of Firm Heterogeneity and External Factor Change on Innovation: Evidence from the Vehicle Industry Sector," Sustainability, MDPI, vol. 14(11), pages 1-15, May.

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