IDEAS home Printed from https://ideas.repec.org/a/hin/jnijde/2495686.html
   My bibliography  Save this article

The Morbidity of Multivariable Grey Model MGM

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/IJDE/2017/2495686.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/IJDE/2017/2495686.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2017/2495686?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnijde:2495686. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.