পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| DF-GLS পরীক্ষা: GLS-ডিট্রেন্ডেড ডিকি-ফুলার ইউনিট-রুট পরীক্ষা× | KPSS স্থিরতা পরীক্ষা (KPSS Stationarity Test)× | |
|---|---|---|
| ক্ষেত্র | অর্থমিতি | অর্থমিতি |
| পরিবার≠ | Hypothesis test | Regression model |
| উদ্ভবের বছর≠ | 1996 | 1992 |
| প্রবর্তক≠ | Elliott, Rothenberg & Stock | Kwiatkowski, Phillips, Schmidt & Shin |
| ধরন≠ | One-sided t-test on GLS-detrended series | Stationarity test (reverse of unit-root tests) |
| মৌলিক উৎস≠ | Elliott, G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64(4), 813–836. DOI ↗ | 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 ↗ |
| অপর নাম≠ | Elliott-Rothenberg-Stock test, ERS unit-root test, GLS-detrended Dickey-Fuller test, DF-GLS birim kök testi | Kwiatkowski-Phillips-Schmidt-Shin test, stationarity test, KPSS durağanlık testi |
| সম্পর্কিত≠ | 3 | 4 |
| সারসংক্ষেপ≠ | The DF-GLS test, introduced by Elliott, Rothenberg, and Stock (1996), is a modified augmented Dickey-Fuller procedure that applies generalized least squares (GLS) detrending before the standard unit-root regression. By removing deterministic components under a local alternative rather than the null hypothesis, the test achieves near-optimal power for detecting stationarity in time series, making it the preferred unit-root test in applied econometrics when a trend or intercept is present. | 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. |
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