The parameters associated with the random effects are as follows: standard deviation of the intercept =, standard deviation of the population density = and the correlation coefficient of the population density =.
A random intercept model was used, where the intercept of each twin pair was modelled as a function of the population intercept plus a unique contribution of the twin pair.
In these models, the intercept of each twin pair was modelled as a function of the population intercept plus the individual contribution of the twin pair.
We estimated the relationship between n-1 and the logistic regression coefficients for the given sample size by fitting the following equation based on the additive definition of the bias As the sample size increases, n → ∞, the bias converges to zero (lim n →∞ b1 n-1 = 0), thus the intercept corresponds to unbiased estimate of the population parameter value.
The intercept of the regression line at λ = 1 (population at equilibrium) results in a population size of 103,000 guanacos (51 guanaco/km ), which can be considered as an estimate of the carrying capacity of the Cameron ranch for this guanaco population.
To obtain fitted values in the original scale, particularly for w o and w s, we used the function predict within the stats package in R. For significance of replicate population effects (intercept of the models) and generation (slope) from zero, we employed z-tests as implemented in the multcomp R package cftest function [ 67].
This model allows predicting average RF-EMF exposure in different population strata Intercept of the model: 0.11 mW/m2 (95%-CI: 0.08-0.17) (exposure during the day of a female person aged 20-34 lining in an urban environment, owning a mobile phone, a cordless phone and wireless LAN at home, with the lowest socioeconomic status).
Intercept corresponds to the population size at the generation 1 and slope corresponds to the slope of linear regressions across generations.
The risk of intercepting zero is highly dependent on the way the variance of the population size relates to its mean.
The point at which the LOESS curve intercepts the critical r2 is determined as the average LD decay of the population.
