stationary

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stationary

(stā′shŭn-ĕr-ē) [L. stationarius, belonging to a station]
Remaining in a fixed condition.
Medical Dictionary, © 2009 Farlex and Partners
References in periodicals archive ?
The numerical results demonstrate that time-variant velocities and dynamically moving scatterers results in non-stationarity channel characteristics.
This study improves the statistical inference of the DD estimates, addressing seasonality, non-stationarity, and autocorrelation through the use of month fixed effects, a linear time trend, and mixed-effects modeling, respectively.
Given the upward trend, seasonality and non-stationarity of FTAs series, the SARIMA model was used to produce the out-of-sample forecasts values.
The results of the Moon and Perron panel tests, as indicated by the observed values of the [t*.sub.-a] and [t*.sub.-b] statistics, reject strongly the null hypothesis of non-stationarity at the 1 per cent level.
From the mid-1990s onwards, there has been a decline, again symptomatic of non-stationarity.
Specifically, the objectives of this study were (1) to investigate whether the GWR model describes the data significantly better than the OLS regression, (2) to examine whether the localised regression coefficients display significant non-stationarity over the study area, and (3) to compare the predictive abilities of OLS regression and the GWR model based on an independent validation dataset.
To study short and long-run price competition, we first perform non-stationarity tests on the individual price series.
These results are confirmed by the Clemente-Montanes-Rayes (CMR) test which rejects the null of non-stationarity at 5% level.
Non-stationarity can be formally identified through testing for the presence of unit roots.
ARIMA knows success even when the series are not stationary, because applying a difference of some degree leads to reducing or eliminating non-stationarity [1-4, 6, 11].
The non-parametric Phillips-Perron (PP) test and parametric Augmented Dickey-Fuller (ADF) test rejected the non-stationarity hypothesis for index returns at the level for all daily, weekly and monthly data.

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