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The phrase "smoothing model" is correct and usable in written English.
It can generally refer to a mathematical or statistical model that uses smoothing techniques to estimate the underlying data structure. For example: "The researchers used a smoothing model to minimize the bias in their estimation of the underlying probability distribution."
Exact(42)
A smoothing model should be chosen according to the expected smoothness of compound concentration trends i.e. how likely they are to exhibit rapid fluctuations.
Two-point coupling smoothing model.
Three-point coupling smoothing model.
The Gaussian smoothing model is introduced in [22].
Forecast de-seasonalised data by forecasting the exponential smoothing model.
There are two methods for modeling of the penalty: three-point coupling smoothing model and two-point coupling smoothing model.
Similar(18)
Smoothing Models are based on spatial smoothing of independent events.
We develop computationally efficient, Bayesian spatial smoothing models that acknowledge the design weights.
Version 4 also added time series forecasting and new smoothing models, such as the seasonal smoothing method, called Winter's Method, and the ARIMA (Autoregressive Integrated Moving Average).
Several smoothing models were considered.
We estimated time- and space-resolved exposures with GIS-based smoothing models.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com