Exact(9)
The range of a multiplicative fit can be more dynamic since it is determined by a multiplication of the values αi's and βj's.
Therefore, a multiplicative fit accurately describes the response.
Here, the squared correlation coefficient between the response and the SVD-based multiplicative fit is 0.85.
The squared correlation coefficient between the model response and the SVD-based multiplicative fit is 0.99.
Over a range of low Δthreshold values, the spiking response was better described by a multiplicative fit than by an additive fit, but the accuracy of the multiplicative fit decreased as the Δthreshold increased (Figure 3A,B).
The relative accuracy of the additive and multiplicative fits is summarized by a multiplication index defined as MI = (nRMSmult − nRMSadd)/(nRMSmult + nRMSadd), where nRMSadd is the normalized RMS error between the response and the additive fit and nRMSmult is the normalized RMS error between the response and the multiplicative fit.
Similar(49)
Assuming multiplicative fitness effects, we infer that females completely inbred for the autosomes would be 63% as fit as outbred females.
In cases where both the additive and multiplicative models fit the data fairly well, an additive specification may be preferred, due to the interpretation of the regression parameters.
Thus, the multiplicative model fits Changling better and the additive model fits Qian'an and Da'an better.
As a result, the multiplicative model fits the hydrogeological conditions in Changling better.
By contrast, in areas with poor soil permeability, the multiplicative model fits better than the additive model.
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