• 分析海南省芒果供需情况,利用季节指数趋势2010年海南省芒果的价格进行预测分析。

    Mango supply and demand in Hainan are analyzed. And the mango price in Hainan in 2010 is forecast using the seasonal index trend method.

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  • 由历史数据推测未来趋势众多较突出时间序列最小指数平滑回归分析相关分析

    Prominent among the various techniques that can help to extrapolate past date into future trends are the following:time series, least squares method, exponential smoothing, regression and correlation.

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  • 运用指数平滑我国珠宝首饰市场未来一定时期的销售趋势进行预测预测结果进行评估、修正,从而透析我国珠宝首饰市场发展前景,为相关部门提供参考。

    Based on the previous data, the sale tendency of our jewelry market in China is studied by using index smooth method, and the appraisal to the forecast result is also carried on.

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  • 试验水样进行水质化学分析后,采用稳定指数,对水样的腐蚀趋势进行了判断。

    After chemical analysis of the experiment water, the tendency to corrosion and scaling was analyzed by a stable indicator.

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  • 通过实例均值污染指数进行了比较,结果证明,趋势权重指数评价水体质量准确简便

    The results showed that the method of tendency weight pollution index is accurate and convenient for the assessment on water bodies.

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  • 采用定量遥感技术斜率全球植被指数MODISNDVI数据作为数据源,对宁夏地区2000—2004期间植被指数变化幅度及变化趋势进行了研究。

    Based on MODIS NDVI, this paper studied the variation trend of vegetation index in the years of 2000 to 2004 in Ningxia area using quantitative remote sensing technique and slope method.

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  • 计算结果表明,可采用指数平滑预测超限事件发生趋势,及时发现民航事故早期征兆

    The calculation result is that exponential smoothing is suitable to forecast the trend exceed the limits so as to find the early signs of civil aviation accidents or calamity.

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  • 利用综合污染指数石门水库多年监测结果进行分析,基本掌握了石门水库水质污染状况及变化趋势

    The monitoring data collected from the water body of ShiMen reservoir were analyzed with the method of comprehensive pollution index.

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  • 运用指数平滑预测山东省卫生总费用未来发展趋势

    This paper forecasted the future trend of THE using exponential smoothing method.

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  • 季节预测中的移动平均比率计算趋势调整指数最后应用模型

    Methods The trend values were calculated and the monthly indexes were adjusted with moving average method of season prediction method, and then the model was applied.

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  • 本文采用两种解决高温温区的外标定问题,即基于二次曲线导数最小二乘基于修正指数模型趋势外推

    One is differential least square method based on conic, and the other method is trend extrapolation based on modified exponential model.

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  • 本文采用两种解决高温温区的外标定问题,即基于二次曲线导数最小二乘基于修正指数模型趋势外推

    One is differential least square method based on conic, and the other method is trend extrapolation based on modified exponential model.

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