In other applications, such as in computing the correlation function and in spectral analysis, it is necessary to remove the trend from the data, a procedure known as detrending, lest the result might be overwhelmed by the nonzero mean and the trend terms; therefore, detrending often is a necessary step before meaningful spectral results can be obtained. ❋ Unknown (2007)
Instead, two reviewers elaborate lengthy on marginal or irrelevant issues, such as detrending or missing at random. ❋ Unknown (2006)
S&W, neglecting detrending, claimed that both SFI and GTA were Lévy walks characterized by similar scaling law powers, and therefore were strongly correlated. ❋ EliRabett (2009)
So you have to do a nasty exponential my eyeball of tree ring crap detrending … ❋ Unknown (2007)
On the other hand, we show that the regression residuals from the linear detrending of a random walk series would contain large positive autocorrelations in the first few lags. ❋ Unknown (2007)
As a result, identifying the trend and detrending the data are both of great interest and importance in data analysis. ❋ Unknown (2007)
Therefore, with a mean (sites equally weighted) sample length of 260 years (Table 1), such individual series detrending will result in chronologies that can only represent variability at centennial or higher-frequency time scales. ❋ Unknown (2007)
Willis E showed that by detrending and removing a sinusoidal cyclical component from the NATL named storm time series 1851-2006 that the fit to a Poisson distribution improved dramatically. ❋ Unknown (2007)
Therefore it is unlikely that an AR1 process adequately describe observed variability in response to strong forcing, even after detrending Mann and Lees, 1996. ❋ Unknown (2007)
Slightly OT, but there is a new article by Dr. Wu in the Proceedings of the National Academy of Sciences “On the trend, detrending, and variability of nonlinear and nonstationary time series” ❋ Unknown (2007)
Sure, they are able to do it by detrending the series, see the third column in calibration for steps 1400-1500. ❋ Unknown (2007)
Once the trend is determined, the corresponding detrending operation can be implemented. ❋ Unknown (2007)
Willis E showed graphically (and I was able to show it with a goodness of fit calculation) that extracting a cyclical component (and detrending)improved the fit. ❋ Unknown (2007)
Determining trend and implementing detrending operations are important steps in data analysis. ❋ Unknown (2007)
Sure, they are able to do it by detrending the series, see the third column in “calibration” for steps 1400-1500. ❋ Unknown (2007)
As a result, various ad hoc extrinsic methods have been used to determine trend and to facilitate a detrending operation. ❋ Unknown (2007)
Hence, if variance is systematically reduced it is not the regression-type method apart from the detrending that was applied, perhaps some external factor in the independent data such as overfitting. ❋ Unknown (2007)
That is, he is not first detrending and then estimating the rest of the parameters. ❋ Unknown (2007)