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We have used a unified DIC method due to equal number of parameters, but AIC and BIC should be used if two models have differing numbers of parameters.
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More specifically, we study the sensitivity of power to changes in design parameters (e.g., total sample size, differing numbers of genotypings, number of pools, and genetic model parameters).
In the case of social security, differing states have differing population sizes and differing numbers of retirees, complicating the allocation of spending between states.
The theoretical gene frequencies were fit to the empirical gene frequencies by minimizing the square log deviation (SLD) in log space (3) over the parameters of the model and using the corrected AIC (Akaike 1974) to differentiate between models with differing numbers p of parameters (4) Models A, B, and C postulate parametrized gene replacement rate distributions.
Thus it behooves one to get the differing estimates obtained from different optimizers, different numbers of parameters searched, and even to move the parameter "best fit" values a little away from the optimizer's choice and recalculate the confidence ranges.
Consequently, two models with equal likelihoods that differ in the number of parameters will have different AIC values, and the model with the smaller number of parameters will be favored.
These estimation approaches mainly differ in the number of parameters the estimation is based on.
I tested the Needleman-Wunsch and Gotoh global alignment algorithms, which only differ in the number of parameters they use to penalize gaps.
A variety of different lookup tables and constraints were applied to create variant designs that differed in a number of parameters that have been associated with expression effects in the literature.
Even though the models differ in the number of parameters, model 1 cannot describe the experimental data more accurately than the smaller model 2 or even the linear model 3. Despite the difference in degrees of freedom, the residual sum of squares is only slightly smaller (0.05%) for model 1 compared to the small and the linear ones (Table 1).
Each hypothesis differed in the number of parameters to be estimated, from 1 (panmixia) to 25 (full migration; Fig. 2).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com