方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| KPSS平稳性检验× | ARIMA（自回归积分滑动平均）模型× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1992 | 2015 |
| 提出者≠ | Kwiatkowski, Phillips, Schmidt & Shin | Box & Jenkins (Box-Jenkins methodology) |
| 类型≠ | Stationarity test (reverse of unit-root tests) | Univariate time-series model |
| 开创性文献≠ | Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54(1–3), 159–178. DOI ↗ | Box, G. E. P., Jenkins, G. M., Reinsel, G. C. & Ljung, G. M. (2015). Time Series Analysis: Forecasting and Control (5th ed.). Wiley. ISBN: 978-1118675021 |
| 别名 | Kwiatkowski-Phillips-Schmidt-Shin test, stationarity test, KPSS durağanlık testi | Box-Jenkins model, ARIMA(p,d,q), ARIMA Modeli |
| 相关≠ | 4 | 5 |
| 摘要≠ | The KPSS test, introduced by Kwiatkowski, Phillips, Schmidt and Shin in 1992, tests the null hypothesis that a series is stationary against the alternative that it contains a unit root — the reverse of the ADF and Phillips-Perron tests. By flipping the burden of proof, it is designed to be used alongside unit-root tests so that the two can confirm one another and expose ambiguous, borderline cases. | ARIMA is a univariate time-series forecasting model that combines autoregressive, integrated (differencing), and moving-average components to predict a single continuous series from its own past. It is the centrepiece of the Box-Jenkins methodology set out in Box, Jenkins, Reinsel & Ljung's Time Series Analysis (5th ed., 2015). |
| ScholarGate数据集 ↗ |
|
|