Sentence examples for violations of the underlying from inspiring English sources

The consistently good performance suggests that PHASE is robust to some violations of the underlying neutral coalescent model (e.g., selection, kin clustering, population structure [ 53]).

We are also conscious that the M0 is sensitive to violations of the underlying model assumption of homogeneous capture probabilities [ 29, 32], leading to underestimates of the true density and of the standard error.

These plots are useful in looking for patterns suggesting significant violations of the underlying Generalized Additive Model assumptions, and in particular we are looking for temporal correlation between residuals, significant outliers, and temporally changing patterns in the variance.

Particularly when violations of the underlying theoretical assumptions exist, consideration of demographic processes (i.e. vital rates, species specific life history strategies and dispersal) and genetic structuring will allow for more appropriate conservation recommendations.

Reference region methods obviate the need for arterial plasma measurement, but are not as robust to violations of the underlying modeling assumptions as methods using the arterial input function.

Possible violations of the underlying capture-recapture assumptions could influence the validity of our outcomes.

"We believe that this type of coercion... constitutes an egregious violation of the underlying principle of our criminal justice system -- 'that ours is an accusatory and not an inquisitive system.'".

The exclusion of an opt-out option could be a violation of the underlying welfare measures of the economic experiment, since it makes it impossible to estimate the value of doing nothing, which may be chosen in practice [ 42].

The objective of this study was to evaluate the performance of goodness-of-fit testing to detect relevant violations of the assumptions underlying the criticized "standard" two-class latent class model.

The issue is not so much what paradigm of statistics one identifies with (Bayesian or frequentist), but rather that the statistical model matches the causal question of interest and allows for assessing the sensitivity of the statistical model to violations of the assumptions underlying the causal modeling framework.

Furthermore, we did not detect any violations of the assumptions underlying mendelian randomisation as far as they could be tested.