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Study on Application of Logistic Curve Fitting and Forecast from Inbound Tourist Market

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Wei-qi Tan

    (Anqing Vocational and Technical College)

Abstract

The rising of logistic curve basically coincides with the development and growth of the tourist market. It has great advantages in improving forecast precision to use the logistic growth curve to fit the developing trend of the tourist market and to make forecast. The calculation method of K value is proposed in the paper according to the characteristics of curve symmetry. Based on this, a and r parameter values can be calculated and the logistic curve model of China’s inbound market can be fitted by using the method of general curve regression. By the test of $$ \chi^{2} $$ , fitting logistic curve regression meets the requirements. So logistic curve regression can be used as a general method for forecasting the tourist market.

Suggested Citation

  • Wei-qi Tan, 2013. "Study on Application of Logistic Curve Fitting and Forecast from Inbound Tourist Market," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 509-517, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38391-5_52
    DOI: 10.1007/978-3-642-38391-5_52
    as

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