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By not accounting for these variables in the model, the parameter for the tax rate is a catch-all that may be biased.Second, the figure of a "1.07% decrease in annual investment for a one percentage point increase in taxes" is based on a regression that is not statistically significant.
For the Rapp model, the parameter p is chosen as 3.0.
From the best-fitting log-rate model, the parameter estimates and their statistical significance are determined.
In this basic model, the parameter σ has a dual role.
Similar to the Laplacian model, the parameter in the Cauchy model can be estimated by the ML method using (17), where can be computed as (22).
In our model, the parameter ω c is designed to determine the region of which frequency will be assigned a high saliency value.
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Reduction of the Land-model The parameter identifiability analysis indicated that the Land-model had relatively low sensitivity to the parameters k TRPN, n xb and k xb in the part of the simulation space analysed here.
Reduction of the Niederer-model The parameter fitting procedure described above was repeated with parts of the Niederer-model omitted in order to see whether the model could be reduced while keeping the replication of the simulated output data from the Land-model.
In linear models, the parameter equals 1.0.
Thus, the final model included the parameter days in milk.
Combining these data with our model, the model parameters can be estimated by maximum likelihood calculation.
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