time-series data
時間序列資料
analyze time-series
分析時間序列
time-series analysis
時間序列分析
time-series plot
時間序列圖表
time-series model
時間序列模型
time-series forecasting
時間序列預測
time-series trends
時間序列趨勢
time-series graph
時間序列圖形
time-series component
時間序列組成部分
time-series pattern
時間序列模式
we analyzed the time-series data to identify trends in sales.
我們分析了時間序列數據以識別銷售趨勢。
the time-series model accurately predicted future stock prices.
時間序列模型準確預測了未來的股價。
this time-series analysis revealed a seasonal pattern in demand.
這項時間序列分析揭示了需求的季節性模式。
we used a time-series forecasting technique to estimate future demand.
我們使用了時間序列預測技術來估算未來的需求。
the time-series data showed a clear upward trend over the past decade.
時間序列數據顯示過去十年有明顯的上升趨勢。
we are conducting a time-series analysis of website traffic.
我們正在對網站流量進行時間序列分析。
the time-series plot visually represents the data over time.
時間序列圖視覺化地展示了數據隨時間的變化。
a time-series decomposition separated the trend and seasonal components.
時間序列分解將趨勢和季節性成分分離開來。
we built a robust time-series model to forecast energy consumption.
我們建立了一個穩健的時間序列模型來預測能源消耗。
the time-series data was stationary after differencing.
時間序列數據在差分後變得穩定。
we compared several time-series models to find the best fit.
我們比較了幾個時間序列模型以找到最佳擬合。
time-series data
時間序列資料
analyze time-series
分析時間序列
time-series analysis
時間序列分析
time-series plot
時間序列圖表
time-series model
時間序列模型
time-series forecasting
時間序列預測
time-series trends
時間序列趨勢
time-series graph
時間序列圖形
time-series component
時間序列組成部分
time-series pattern
時間序列模式
we analyzed the time-series data to identify trends in sales.
我們分析了時間序列數據以識別銷售趨勢。
the time-series model accurately predicted future stock prices.
時間序列模型準確預測了未來的股價。
this time-series analysis revealed a seasonal pattern in demand.
這項時間序列分析揭示了需求的季節性模式。
we used a time-series forecasting technique to estimate future demand.
我們使用了時間序列預測技術來估算未來的需求。
the time-series data showed a clear upward trend over the past decade.
時間序列數據顯示過去十年有明顯的上升趨勢。
we are conducting a time-series analysis of website traffic.
我們正在對網站流量進行時間序列分析。
the time-series plot visually represents the data over time.
時間序列圖視覺化地展示了數據隨時間的變化。
a time-series decomposition separated the trend and seasonal components.
時間序列分解將趨勢和季節性成分分離開來。
we built a robust time-series model to forecast energy consumption.
我們建立了一個穩健的時間序列模型來預測能源消耗。
the time-series data was stationary after differencing.
時間序列數據在差分後變得穩定。
we compared several time-series models to find the best fit.
我們比較了幾個時間序列模型以找到最佳擬合。
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