We adapted sampling theory using Monte Carlo methods to determine target population sample size to detect disease with 95% confidence, using information from the epidemiologic parameters risk ratio and fraction of the population with the characteristic.
For general task duration distributions, we adapt sample average approximation (SAA) method to probability objective function.
Our approach is based on λ-tracking controllers, but in a context of piecewise constant sampled-data output feedbacks and possibly adapted sampling periods.
Given the constraints imposed on entomological surveys in remote areas, the study area specificities and the lack of adapted sampling design method in the literature, there was a need for methodological development to objectively design the sampling strategy.
These adapting sampling principles result in robust encoding of natural light changes, which both approximates perceptual contrast constancy and enhances novel events under different light conditions, and predict information processing across a range of species with different visual ecologies.
Fo: The maximal fluorescence of light adapted samples.
where: Fm: The ground fluorescence of light adapted samples.
These new series definitions were used to rerun regressions on the original sample, as well as on an adapted sample.
Further studies, with adapted sample size, are needed to determine the adverse effects of such treatment.
The comparison between naïve and adapted samples was tested with a one-sided contrast, testing for decrease in the signature in the adapted compared with naïve samples only.
