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Indeed, the best fitting estimates were close to the mode of the distribution, which was somewhat different from the mean.
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It also includes the best fitting estimated d derived by double variate square error minimization methods and associated nonparametric 95% confidence intervals derived by bootstrapping using 10,000 samples [47] [49].
The lognormal distribution was found to provide the best fitting estimate to the GC-TRFLP data from soil (Table 2, Figure 5).
This fitting estimated that the STIL CCCD was tending towards a mass of 23.4 kDa (theoretical tetramer mass = 24.5 kDa) with an R value of 95%.
To avoid overfitting, the inference is done using the Bayesian analysis, and thus the final model fitting estimate is obtained by integrating over parameters using an MCMC sampling technique.
While pseudo-inverse estimation is suffered from over-fitting, estimated result with the non-negative constraint is much stable, and the effectiveness of non-negative constraint is confirmed.
The only nonlinear parameter is the heat transfer parameter (k_{A,B}/C_B), for which we use a simple line-search to find the best-fitting estimate.
16 Our best-fitting estimate only uses national-level MMR data by year without using any additional covariates.
Because the emission factor for UFP is highly uncertain, we treated it as a model parameter whose value is obtained by fitting model estimates to observations of UFP concentrations measured at distances where the barrier impact is not dominant.
λ was also unconstrained, because fitting yielded estimates <5%.
For each model, the best fitting parameter estimates from the proactive task were used to simulate 100 trials for each go trial probability condition.
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