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The negative correlations between the time-series of deviations of inter annual index 'aa' from the linear trend and deviations of cases of circulation patterns alternations from the proper linear trend was established over the period of 105 years.
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We examine the degradation process in two cork oak woodlands, resulting from distinct disturbances, wildfire and oak mortality, aimed at evaluating the changes, trends and deviations of the spatial attributes of these woodlands as they move from an initial (less disturbed ecosystem) to a final state (more disturbed ecosystem).
To facilitate an understanding of the underlying mechanism for these trends and deviations, we introduce the trade volume-GDP profile (TGP) for a country, which is a scatter plot of trade volume to each trading partner of the country with respect to the partner's GDP (Figs. 4 and S2).
Likelihood ratio tests were used to assess the significance of overall associations, linear trends and deviations from linearity.
The former only use information on the variable to be disaggregated (GDP, industrial production, the unemployment rate, etc)., its trend and the deviations from that trend.
The periodic process demand can be modeled based on the initial process demand (D_{0}), the constant trend, and the deviations as shown in Eq. (1): D_{t} = D_{0} left( {1 + mu_{D} } right)^{t} + sigma Z_{t} ;{text{with}}; Z_{t} sim Nleft( {0,1} right).
To detect systematic errors, a nonparametric fit was applied to each trend and percent deviations calculated at every timepoint.
It will be ideal if a mechanic model can be proposed to explain the trend, and the deviations can be explained in the future.
The results of experiment and simulation have achieved good agreement with the same trend and average deviation of 2.25%.
The hiatus or slowdown can be identified by comparing the statistical characteristics of the GMST/GMAT series during the early 2000s with those for the decades during the late twentieth century (e.g., decadal trends and standard deviations).
The basic idea of PID control is easy to explain: deviation of the controlled quantity (BG in our case) from the target is corrected by adapting the control parameter (insulin) using a linear combination of absolute deviation, trend, and the sum of past deviations.
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