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This particular model is assumed subsequently in the present paper for both estimation and simulation purposes.
The data log-likelihood in both estimation and simulation run is considerably higher for the MTU filter, compared to any of the standard filter runs.
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A comparison of the results of MTU-PF and standard particle filter shows that both algorithms exhibit very similar performance with respect to the quality of the estimated parameters, since in both cases the development of the data likelihood is very similar both for estimation and simulation.
From the case study of the porosity, we can see that both the estimation and simulation methods could obtain the similar results.
Parameter estimation and simulation.
In Section 5, we address parameter estimation and simulation for the uniform-exponential{generalized lambda} distribution.
Geostatistical estimation and simulation techniques are useful for characterizing the spatial distribution of soil properties.
The performance of the proposed results is illustrated in a numerical example in the areas of estimation and simulation.
In addition, policymakers will be able to refer to these estimation and simulation results as indicators to evaluate policies and make decisions for both the financial market and the real economy.
Finally, WL forwards and backwards Markovian representations have been presented from which some applications are illustrated in the signal estimation and simulation fields.
In software where the distribution function is predefined (e.g., R), it can be used both for estimation and for simulation, whereas in software where a user-defined function is necessary (e.g., NONMEM), the code should be adapted between estimation and simulation.
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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