time-series data
时间序列数据
analyze time-series
分析时间序列
time-series analysis
时间序列分析
time-series plot
时间序列图
time-series model
时间序列模型
time-series forecasting
时间序列预测
time-series trends
时间序列趋势
time-series graph
时间序列图表
time-series component
时间序列成分
time-series pattern
时间序列模式
we analyzed the time-series data to identify trends in sales.
我们分析了时间序列数据以识别销售趋势。
the time-series model accurately predicted future stock prices.
时间序列模型准确地预测了未来的股票价格。
this time-series analysis revealed a seasonal pattern in demand.
这项时间序列分析揭示了需求中的季节性模式。
we used a time-series forecasting technique to estimate future demand.
我们使用时间序列预测技术来估计未来的需求。
the time-series data showed a clear upward trend over the past decade.
时间序列数据表明过去十年里存在明显的上升趋势。
we are conducting a time-series analysis of website traffic.
我们正在进行网站流量的时间序列分析。
the time-series plot visually represents the data over time.
时间序列图直观地表示了随时间变化的数据。
a time-series decomposition separated the trend and seasonal components.
时间序列分解将趋势和季节性成分分离出来。
we built a robust time-series model to forecast energy consumption.
我们构建了一个强大的时间序列模型来预测能源消耗。
the time-series data was stationary after differencing.
差分后，时间序列数据变得平稳了。
we compared several time-series models to find the best fit.
我们比较了几个时间序列模型以找到最佳拟合。
time-series data
时间序列数据
analyze time-series
分析时间序列
time-series analysis
时间序列分析
time-series plot
时间序列图
time-series model
时间序列模型
time-series forecasting
时间序列预测
time-series trends
时间序列趋势
time-series graph
时间序列图表
time-series component
时间序列成分
time-series pattern
时间序列模式
we analyzed the time-series data to identify trends in sales.
我们分析了时间序列数据以识别销售趋势。
the time-series model accurately predicted future stock prices.
时间序列模型准确地预测了未来的股票价格。
this time-series analysis revealed a seasonal pattern in demand.
这项时间序列分析揭示了需求中的季节性模式。
we used a time-series forecasting technique to estimate future demand.
我们使用时间序列预测技术来估计未来的需求。
the time-series data showed a clear upward trend over the past decade.
时间序列数据表明过去十年里存在明显的上升趋势。
we are conducting a time-series analysis of website traffic.
我们正在进行网站流量的时间序列分析。
the time-series plot visually represents the data over time.
时间序列图直观地表示了随时间变化的数据。
a time-series decomposition separated the trend and seasonal components.
时间序列分解将趋势和季节性成分分离出来。
we built a robust time-series model to forecast energy consumption.
我们构建了一个强大的时间序列模型来预测能源消耗。
the time-series data was stationary after differencing.
差分后，时间序列数据变得平稳了。
we compared several time-series models to find the best fit.
我们比较了几个时间序列模型以找到最佳拟合。
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