Abstract
For the operational monitoring indicators and confidence indicators data of a number of small and micro enterprises in Sichuan Province in 2012 throughout the year and 2rd–4th month in 2013, and based on originally identified ARIMA time series model on the original data, we blurred into an interval according to certain rules, and then were made to the lower limit of the range using identified ARIMA time series model, to get a prediction interval. Finally, based on these results, some policy proposals on small and micro enterprises in Sichuan Province are put forward.
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Wang, R., Zhao, S., Peng, T. (2014). Interval Forecasting Model with ARIMA for Monitoring Indicators of Small and Micro Enterprises in Sichuan Province. In: Xu, J., Cruz-Machado, V., Lev, B., Nickel, S. (eds) Proceedings of the Eighth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55182-6_16
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DOI: https://doi.org/10.1007/978-3-642-55182-6_16
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