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This can be explained by taking into account how each model reflected the initial data used within the respective procedure.
In the first approach, successive small refinements in the initial data used by nonlinear models is not guaranteed to lead to any convergence between model behavior and target system behavior.
The first basic approach is to focus on successive refinements to the accuracy of the initial data used by the model while keeping the model itself fixed (e.g., Laymon 1989, p. 359).
We did not collect the initial data used in this study and, therefore, relating it to acceptance of evolution may not be what was intended by the original researchers.
As it was mentioned above, the initial data used for this study were derived from Alu-anchored bisulfite PCR libraries.
Thus, the initial data used to fit the model as well as to make mortality estimates of diabetes, both diagnosed and undiagnosed, are nationally representative.
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The present study aims at extending these initial data using: (1) a larger population of monkeys; (2) a more quantitative assessment of manual performance; and (3) lesions whose extent and location are guided electrophysiologically by ICMS.
Indeed, as stated above, those ground-based measurements are the same as the initial inventory data used here.
Initial analysis of data used the Chi-square statistics or t-tests to evaluate the relationship between patient age group and measures of the relevant clinical domains.
Then, the coupled processes are studied, with an initial data set used to determine biodegradation constants that were subsequently used to successfully predict the behavior of a second data set.
The Michaelis constant (K m) was determined from double-reciprocal plots of the initial rate data using meso-DAP as the electron donor and NADP as the electron acceptor at 50°C.
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