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- This is called a deseasonalizing time series. 這叫調和時(shí)間數列。
- Time Series Analysis Hamilton J.D. 時(shí)間序列分析。
- Predicts the future values for a time series. 預測一個(gè)時(shí)序的未來(lái)值。
- Results A new mode of time series is established. 結果建立了一個(gè)新的時(shí)間序列模型。
- Tab to display the tree view of the time series model. 選項卡可以顯示時(shí)序模型的樹(shù)視圖。
- Returns predicted future or historical values for time series data. 返回時(shí)序數據的將來(lái)或歷史的預測值。
- Time series data set comes with a temporal ordering. 時(shí)間序列數據集伴隨著(zhù)一個(gè)時(shí)間上的排序。
- This paper studies algebraic modeling of discrete time series. 摘要主要研究離散時(shí)間序列上的代數模型。
- The method can be used for time series pretreatment and the AR analyzing. 變換方法可用于有限長(cháng)度時(shí)間序列的預處理。
- Simulation of Cunninghamia lanceolata growth by wave-type time series analysis. 杉木生長(cháng)的起伏型時(shí)間序列模擬研究。
- You can define input data for the Microsoft Time Series model in two ways. 可以用兩種方式定義Microsoft時(shí)序模型的輸入數據。
- The analyzing tools include SWOT Analysis, Time Series Analysis, etc. 具體用到的分析工具有SWOT分析、時(shí)間序列分析方法等等。
- A time series data set is a sequence of random variables indexed by time. 時(shí)間序列數據是以時(shí)間為指標的一個(gè)隨機變量序列。
- This paper studies the problem of Fractional-Integra tion (FI) time series. 研究了向量分整序列的非線(xiàn)性協(xié)整問(wèn)題。
- For obvious reasons these methodologies can only apply to time series. 因為顯而易見(jiàn)的原因，這些模型只能用于時(shí)間序列。
- It must need nonlinear method to reflect essence of the time series veritably. 試想，要真實(shí)地反映出這些非線(xiàn)性時(shí)間序列的本質(zhì)，就必須使用非線(xiàn)性工具。
- A nonlinear time series analysis method has been used for reconstruction of sea surface temperature (SST) anomalies. 摘要用非線(xiàn)性時(shí)間序列分析方法對海平面溫度距平場(chǎng)進(jìn)行重構。
- We use the term time series to refer to any group of statistical information accumulated at regular intervals. 按照相等的時(shí)間間隔收集起來(lái)的一組統計數據叫時(shí)間數列。
- Abstract： This paper reviews some recent development in time seri es spectral analysis,particularly a new generalized spectral method. 摘 要： 綜述了時(shí)間序列頻譜分析;尤其是一種廣義頻譜方法的新近發(fā)展.
- Priestley, M. B, Spectral Analysis and Time Series, Academic Press, New York, 1981. 胡基福，《氣象統計原理與方法》，青島海洋大學(xué)出版社，青島，1996。
