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For the simulations, all of the scenarios reached convergence (0% did not converge) for both DSRA and TXRA.
It implies that the samples reached convergence and can ensure the accuracy of parameter estimation.
This indicates that the samples reached convergence and can ensure the accuracy of parameter estimation.
At first, we tried with reduced variations and we did not reached convergence.
PSOC/HJ reached convergence more quickly than PSOIW and consistently found solutions slightly below the overall best solution found.
Accordingly, for the DSE scheme, three examples reached convergence with iteration numbers being 7, 9 and 12, respectively.
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Interestingly, bootstrap replicates that required a large number of iterations to reach convergence in one stage converged quite quickly in the next stage, and vice versa.
In particular, the IDEAL algorithm can reach convergence, whereas the SIMPLE and SIMPLEC algorithms cannot obtain convergent solution in some cases.
To reach convergence up to this level, we need at least 20 decimal places.
However, in this case, to reach convergence in the iterations is rather complicated.
In some cases, Bulirsch-Stoer tolerances of 10−100 are needed to reach convergence.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com