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1)  seasonal linear trend
季节线性趋势
1.
In this thesis, we propose the seasonal linear trend adjusted test statistics for seasonal time series autore-gressive models with a unit root and derive representations for the limit distributions of the estimators and pivotal statistics.
本文为检验带季节线性趋势的季节时间序列的单位根,提出了调整季节线性趋势的统计量,导出这些统计量的极限分布,并用Monte Carlo方法比较研究这些统计量的检验势。
2)  season tendency superposing
季节性叠加趋势
1.
A new forecasting model combined the season tendency superposing and Markov forecasting methods together is presented to forecast the average yield of rapeseed.
为提高利用季节性叠加趋势模型预测有较大波动性数据序列的预测精度,提出一种季节性叠加趋势—马尔柯夫组合预测新方法,并用于油菜平均产量的预测。
3)  seasonal mutual tendency model
季节性交乘趋势模型
4)  trend-season model
趋势季节模型
1.
Time sequence prediction was also conducted in the course combined with trend-season model and exponential smoothing based on the 6th detector.
结合趋势季节模型,以六号探头为研究对象,利用指数平滑法,进行时间序列预测,得到下一个时间段的有害气体扩散数据。
2.
Conclusions Trend-season model showed that, according to the seasonal change of the number of examiners,it was necessary to adjust the plan and prerrange entry-exit persons for inspecting to improve diseases surveillance level.
目的探讨趋势季节模型预测出境劳务人员HBsAg阳性率的实用意义和可行性。
5)  season trend model
季节型趋势模型
1.
This paper deals with establishing season trend model, and forecasting the power supply of a city in 2002 by adopting the two methods of advancing linearity and advancing season index.
应用季节型趋势模型,采用先定线性趋势和先定季节指数两种预测方法,对某市2002年供电量进行预测,其预测结果为电网发展规划和电力生产计划提供了重要的依据。
6)  Season and trend mode
季节和趋势模型
补充资料:傲慢季节

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