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- Phillips, P.C.B. and Perron, P. (1988), “Testing for Unit Roots in Time Series Regression,” Biometrika, 75, 335-346. 對單位根檢驗的意義做了一個(gè)很好的概括。
- Phillips,P.C.B.and P.Perron.Testing for a Unit Root in Time Series Regression[J].Biometrika,(75): p335-46. 陳磊.;中國轉軌時(shí)期經(jīng)濟景氣的測定和分析[J]
- Phillips, P. and P. Perron, 1988, “Testing for a unit root in time series regression”, Biometrika, 75, pp.335-46. 俞海琴、謝德宗和林師模，1994，“以時(shí)間序列頻譜分析方法探討整合與分隔市場(chǎng)理論對臺灣股市適用性之研究”，臺大管理論叢，5(1)，頁(yè)113-64。
- Keywords price mechanism;price prognoses;coal future;time series model;regression model; 價(jià)格形成機制;價(jià)格預測;煤炭期貨;時(shí)間序列模型;多元回歸模型;
- Least square method is adopted in regression analysis, AR(n) model in time series analysis and GM(1,1) model in grey system prediction. 時(shí)間序列分析主要采用了自回歸模型AR(n)：在灰色預測分析中采用了工程中最常用的GM(1，1)模型。
- For forecasting the gyro drift tendency of a missile,a prediction model based on support vector regression is established taking the time series of gyro's drift as study object. 為了預測某導彈陀螺漂移趨勢,以該陀螺漂移角速度時(shí)間序列為對象,建立了基于支持向量回歸機的預測模型。
- 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。
- 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。
- At the same time, a regression model that can forecast the failure frequency(FF) of the MSM is established. 建立了能預報規定期內金屬結構件故障頻數回歸模型；
- A series of beneficial conclusions have been made on the base of the Logit regression model. 本文從性別差異的角度就公司的管理、人力資源調整及激勵方式等方面提出了一些有益建議。
- 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。
- Kaplan-Meier eent rates were calculated for each eent and the composite outcome, and a Cox regression model was constructed for time to eent. Kaplan-Meier法計算了每個(gè)病例的發(fā)生率和綜合結果，并且對每個(gè)病例從時(shí)間上建立了Cox回歸模型。
- 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。
- The contents from the third chapter to the fifth chapter are the kernels which are a series of applications of generalized regression model and generalized regression estimator. 第三章至第五章就是廣義回歸模型及廣義回歸估計方法的一系列具體應用，因而也就成為本論文的核心部分。
- A regression model for the relationship among re-reddening temperature, time and distances from different node points to the surface is thus obtained in re-reddening zone. 在返紅區域回歸出返紅溫度隨經(jīng)歷時(shí)間和各點(diǎn)到表面距離的變化規律的關(guān)系模型。
- The Support Vector Regression(SVR) is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems. 摘要 用支持向量回歸（SVR）的方法分析和預測時(shí)間序列，可解決復雜非線(xiàn)性系統的建模問(wèn)題。
- The remarkable change in a time series is sometimes regarded as a switch in the regression equation from one regime to another. 摘要時(shí)間序列的顯著(zhù)變化可視為時(shí)間序列的內在生成機制從一種機制向另外一種機制的轉換。
- In this paper, we discuss the estimate of regression function in nonparametric regression model based on exponential integral martingale difference. 摘要本文研究了誤差項是鞅差序列，且滿(mǎn)足某種指數矩條件的非參數回歸函數的估計。
