Aim at the trait of time series, investigate the different ARIMA patterns, put forward the ARIMA model and forecast and estimate aim at special market.
针对其时间序列的特点,研究了ARIMA的不同模式,提出了面向特定市场的ARIMA模型,及其预测和估计方法。
Linear growth model is widely used in the analysis and forecast of time series in economic and biological fields.
线性增长型模型被广泛应用于经济领域和对生物信号的时间序列的分析和预报。
Egress time forecast model was also built based on number of seats and exit gate in venue.
提出基于场馆座位数量、出口个数的疏散时间预测模型。
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