Exact(2)
By performing the proposed immunity genetic searching algorithm starting with some groups of randomly generated parameter sequences, the resulted parameter sequences closely oscillate around the Chebyshev parameter sequence.
It is implemented by repeatedly resampling the subjects in the population with replacement and repeating the estimation step and then examining the distribution of the resulted parameter estimates.
Similar(58)
These problems are noted with P1, P2,…, P9 and the corresponding resulted parameters are presented in Table 4.
The quality of the resulting parameter estimates is discussed.
The higher the number of generations the higher is the fitness of the resulting parameter set.
What is interesting to see is the distribution's resulting parameter estimations as m increases.
The resulting parameter M is the one, which determines the LOS.
The resulting parameter estimates can be used for prescribing patient specific dialysis sessions.
Due to the usage of a prior probability for Z, the resulting parameter estimations are done according to weighted averages.
The resulting parameter values are shown in Table 1.
Next, we describe how the likelihood (2) can be calculated and how the resulting parameter estimates are obtained.
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