Exact(2)
This model estimated three parameters: location, slope, and category.
Each GEE model estimated three regression coefficients related to the association between a given biomarker and progression of the damage score representing the effects of, respectively, the biomarker value at year 1, the time since year 1, and the biomarker-by-time interaction.
Similar(58)
This model estimated two positions per day using raw time-series data independent of any tag manufacturer's light-based positional estimates.
Using a stepwise-down approach, we set exposures with a nonsignificant P-het (P > 0.05) to have a single parameter estimate across subtypes so that the final model estimated two separate associations for exposures that differed significantly by subtype and a single parameter estimate for all other exposures.
As mentioned earlier, our multi-nominal Logit model estimates two equations simultaneously.
The "equal rates" model estimates one parameter of transition between all possible states.
The "test of positive selection" compares this model against a simpler (null) model, that does not allow for positive selection (ω5(2) = 1), so that this model estimates one fewer parameters than its alternative.
For example, the popular HKY85 [1] nucleotide substitution model estimates two separate substitution rates: one for transitions-substitutions between chemically similar purines (adenine and cytosine) or pyrimidines (guanine and thymine -and one for thymine -ands (all oneer substitutions).
This model estimates six demographic parameters including gene flow rates and time of divergence while generating relative likelihoods/posterior probabilities [ 103].
In each individual path analysis the evolutionary model used estimated two ω ratios.
Three general linear models were estimated: one for the gesturing, one for the guessing and one for the passive observation sessions.
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