stationarity वाक्य
उदाहरण वाक्य
मोबाइल
- The concept of stationarity in the wide sense was introduced by Khinchin and has other names including covariance stationarity or stationarity in the broad sense.
- The concept of stationarity in the wide sense was introduced by Khinchin and has other names including covariance stationarity or stationarity in the broad sense.
- Since stationarity is an assumption underlying many statistical procedures used in time series analysis, non-stationary data is often transformed to become stationary.
- Stationarity refers to the process'behaviour regarding the separation of any two points " x " and " x " '.
- Substantial differences in the results of these approaches can occur if the observed series is short, or if the process is close to non-stationarity.
- It is to be noted that stationarity has been defined and studied for point processes in more general spaces than \ mathbb { R } ^ d.
- If we knew u _ t, we could just test it for stationarity with something like a Dickey Fuller test, Phillips Perron test and be done.
- Additionally, in the KPSS test, the absence of a unit root is not a proof of stationarity but, by design, of trend-stationarity.
- Additionally, in the KPSS test, the absence of a unit root is not a proof of stationarity but, by design, of trend-stationarity.
- The "'stationary measure "'proceeds from the observation that different processes achieve stationarity of P ( \ phi, t ) at different times.
- The most common cause of violation of stationarity are trends in mean, which can be due either to the presence of a unit root or of a deterministic trend.
- The authors further argue that rather than using Box Jenkins, it is better to use state space methods, as stationarity of the time series is then not required.
- :The proposed solution in the geostatistical formalism consists in assuming various degrees of stationarity in the random function, in order to make possible the inference of some statistic values.
- Stationarity is the property of a random process which guarantees that its statistical properties, such as the mean value, its moments and variance, will not change over time.
- :* Caers also use the assumption of stationarity in the context of multiple-point geostatistics, where higher n-point statistics are assumed to be stationary in the spatial domain.
- This focus on the vis viva by the continental physicists eventually led to the discovery of stationarity principles governing mechanics, such as the D'Alembert's principle and Hamiltonian formulations of mechanics.
- These two models can be combined into an autoregressive-moving average ( ARMA ) model, or an autoregressive-integrated-moving average ( ARIMA ) model if non-stationarity is involved.
- The hypothesis of stationarity related to the second moment is defined in the following way : the correlation between two random variables solely depends on the spatial distance between them, and is independent of their location:
- The final assumption about stationarity is difficult to test from data for a single site because of the large uncertainties in even the longest flood records and that managing flood risks in the future will become even more difficult.
- Any time-invariant operations also preserves AEP, stationarity and ergodicity and we may easily turn a stationary process to non-stationary without losing AEP by nulling out a finite number of time samples in the process.
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