Not only the context-dependent evolutionary model itself requires estimation and evaluation, we have also shown that the choice of an adequate ancestral root distribution is essential to accurately estimate the model's parameters.
As a consequence, Brownian motion is suggested as the best fitting model because it requires estimation of the smallest number of parameters.
This extension of model [e1] requires estimation of two genetic variances, one for deafness and the second for coat colour, a genetic covariance between these two categorical phenotypes and a residual covariance between the two phenotypes.
Otherwise, large values for one model (Model 1) whereas small (negative) values favour Model 2. Carrying out the test requires estimation of the two models (Model 1 and Model 2) and computation of the two sets of predicted probabilities.
Therefore, a model requires the estimation of leaf temperature, using relevant mechanistic processes, in order to simulate the response of rice to changes in climatic variables.
Building mathematical models is a common task in process systems engineering, which requires estimation of model parameters as the final step of modeling exercise.
Modelling of chemotherapies essentially requires estimation of dose, drug and cell-stage specific toxicity parameters.
