A calibration curve is assessed as a function of the detector response at known concentrations of analyte: the assay's linear range (using a particular regression formula) is the lowest to the highest diluted concentration.
As we were interested in four comparisons in particular, we used a generalized linear model approach in which we assessed differential expression with strain and tissue type as factors.
We used a generalised linear mixed model (GLMM, Baayen 2008) for each of the parameters to test whether, on a particular day, this parameter was influenced by the percentage of time spent mate-guarding.
Note: Because none of our response variables were expected to follow a particular alternative distribution, such as a binomial or poisson distribution, we used a linear mixed model instead of a generalized linear mixed model.
Comparison of mean changes in haemoglobin and total cholesterol levels used a linear regression model (SPSS 14), adjusting for age and the effect of being in a particular pair of homes.
The team used a linear accelerator to bombard lead-208 with nickel-62 nuclei.
In particular, they used a Poisson repeated-measures linear regression [ 7], logistic linear regression with repeated measures [ 14], and Poisson linear regression with general cumulative risk estimation over lag days [ 11].
IRT methods model the association between a respondent's underlying level on a characteristic (latent variable) and probability of a particular item response using a non-linear monotonic function [ 13].
The time series of the propagated sea state parameters at a particular location are reconstructed using a non-linear interpolation technique based on radial basis functions (RBFs), providing excellent results in a high dimensional space with scattered data as occurs in the cases selected with MDA.
If two hornets (w1,werewere present, a combined vw1+w2 value was calculated using a linear correction model considering the particular dxz value for each hornet (dw1 dw2): vw1+w2 = vw1*fw1+vw2*fw2 with fw1 = 1− dw1/ dw1+dw2)) and fw2 = 1−fw1.
