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By fitting a functional spectral form to the measured wind velocity data obtained in wind tunnel (WT) as well as in nature, it is shown that the Fichtl-McVehil form of spectrum fits better.
The data were then further stratified by the variables identified in the linear regression, and the remaining variability of commuting distances within each stratum was characterised by fitting a functional form to the distance distributions separately for each stratum with at least 5 individuals.
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Furthermore, this approach also made it possible to fit a functional response for each individual as well as deriving a marginal response at the population level.
Another potential problem in regression adjustment is that finding and fitting an appropriate functional form for each covariate may be difficult.
Method 5, in which we extended the use of fitting a type II functional response to metabolic rates, produced a range of estimates similar to the overall unbiased approaches.
First, we used penalized splines, which fit a flexible functional form to the concentration response to examine its shape, and chose the degrees of freedom for the curve based on Akaike's information criterion.
The precise shape of the relationship was determined by fitting a range of different functional forms (a modified constant, linear, power, hyperbolic, sigmoid and Gompertz functions) and statistically determining which gave the best fit (a full description of the model is given in the Supplementary files).
The precise shape of the relationship was determined by fitting a range of different functional forms (a modified constant, linear, power, hyperbolic, sigmoid, and Gompertz functions) to data presented in Figure 1 source data 1 and statistically determining which gave the best fit.
Often, some creative thinker will assimilate the efforts of predecessors, synthesize them, correct them and add some crucial conceptual component that makes all the pieces fit in a functional way.
In the current study, one gene without known annotation but identified as very highly differentially expressed by microarray analysis was chosen for further confirmation by qPCR along with others that did not easily fit into a functional category.
Condie ME, McFadyen AK, Treweek S, Whitehead L. The Trans-femoral Fitting Predictor: a functional measure to predict prosthetic fitting in transfemoral amputees validity and reliability.
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