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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.
From the case study of the porosity, we can see that both the estimation and simulation methods could obtain the similar results.
Finally, WL forwards and backwards Markovian representations have been presented from which some applications are illustrated in the signal estimation and simulation fields.
Similar(37)
Furthermore, methods for estimation, approximation, and simulation of gamma processes are reviewed.
Model formulation, parameter estimation and model simulations were performed by SH and SJ, and supervised by JRK and OW.
The methodology followed is applicable for feasibility and engineering analysis, and may also be used for production estimation and model based simulation with a link to knowledge-based expert systems.
Model estimation and data simulation were performed using NONMEM version 5.1.
The approach chosen uses an activity-based power estimation model and simulation to determine activity in the component.
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