विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| KPSS स्थिरता परीक्षण× | फिलिप्स-पेरॉन (पीपी) इकाई-मूल परीक्षण× | |
|---|---|---|
| क्षेत्र | अर्थमिति | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1992 | 1988 |
| प्रवर्तक≠ | Kwiatkowski, Phillips, Schmidt & Shin | Peter C. B. Phillips & Pierre Perron |
| प्रकार≠ | Stationarity test (reverse of unit-root tests) | Unit-root test for stationarity |
| मौलिक स्रोत≠ | 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 ↗ | Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗ |
| उपनाम | Kwiatkowski-Phillips-Schmidt-Shin test, stationarity test, KPSS durağanlık testi | PP test, Phillips-Perron unit root test, Phillips-Perron birim kök testi |
| संबंधित | 4 | 4 |
| सारांश≠ | 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. | The Phillips-Perron test, proposed by Peter Phillips and Pierre Perron in 1988, tests for a unit root in a time series, like the Augmented Dickey-Fuller test, but corrects for autocorrelation and heteroskedasticity in the errors non-parametrically rather than by adding lagged differences. It runs a simple Dickey-Fuller regression and then adjusts the test statistic using a long-run variance estimate, so the practitioner need not choose a lag length for the regression itself. |
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