Sentence examples similar to variance sensitive from inspiring English sources

Since bats' discrimination of feeders differing in their likelihood of being empty exhibits the same distance and magnitude effects described above (Nachev and Winter, unpubl)., variance-sensitive foraging behavior can also result in non-profitable choices.

We develop a model for the estimation of the variance of sensitive variable in randomized response procedure, when ranked set sampling (RSS) design is used under ranking criteria.

Estimates of additive variance were sensitive to the choices of G when a greater part of the pedigree was genotyped.

A particularly instructive study dealt with the additive genetic variance in sensitive sea urchin and mussel larvae to ocean acidification (Sunday et al. 2011).

However, when the angular deviation from perpendicular incidence is relatively large (>12 degree), the Doppler variance is sensitive to the Doppler angle and the variance increases with the Doppler angle.

In this paper we have studied the effect of different available software routines for Latin hypercube designs (LHD) on values of the variance-based sensitive indices, total sensitive indices and roughness parameters for the test problem.

This paper deals with the analysis of the estimation of the variance of a sensitive variable.

Generally, the proxy data networks become sparser back in time and the reconstructed variance is increasingly sensitive to the influence of individual proxy records.

Heterogeneity of variance was not sensitive to Box-Cox transformations of phenotypes, which implies that heterogeneity of variance exists beyond what would be expected from simple scaling effects.

This animal study confirms that variance is both sensitive and specific to changes occurring in the brain when measurements are acquired on the surface of the scalp.

Furthermore, a preliminary analysis of the real data also revealed that partitioning additive genetic and common environmental effects in the variance model was sensitive to transformation of data, while the mean model was rather robust in this regard.