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Discover Ludwig'trend models' is correct and usable in written English.
It could be used to describe a method of studying how trends emerge and evolve over time. For example, "Data scientists use trend models to analyze changing consumer behavior."
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Thus, rather than other models, for example panel data regression model, we apply multivariate trend models.
For organic carbon, residuals from the trend models were not significantly auto-correlated, making RK meaningless.
The approach to control substantiation based on "trend" models is given.
Yields of various crops within selected remote sensing monitoring areas are estimated using crop growth trend models and yield estimation models.
Furthermore, the classical and simplest RK, i.e. using a Least Squares Linear Regression (LR) trend built with only continuous covariates, outperformed all standalone trend models.
The SCORPAN models were first applied as standalone trend models and next extended with a component accounting for the spatial autocorrelation of the residuals from the trend.
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Table 4 summarizes selected parameters from the deterministic trend model.
Therefore, we can explicitly fit the trend model of the EM flight and the EF flight.
Thus, in the present study, a stochastic trend model based on linear fitting is used.
The multivariate trend model is fitted using the Prais Winsten recursive autoregression methodology.
Since we have no common exogenous input for the EM and EF flights, we fit multivariate trend model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com