Sentence examples for making inference for from inspiring English sources

When making inference for the fixed effects in GLMM, however, even the robust generalized estimating equations (GEE) method may give biased results when the distributional assumption is violated.

This solves the problems making inference for non-Gaussian traits (Tempelman and Gianola 1994; Fong et al. 2010) and accounting for estimation uncertainty in the breeding values.

The ANOVA provides a methodology for making inferences for means from any number of populations.

These results point to the importance of accounting for differences in concentration and redox when making inferences for coatings based on batch suspension studies.

When making inferences for restoration, the scale (variance) among test locations should match the ecological scale of the targeted restoration environments.

This approach confers an efficient way to make inference for damage evolution using an optimum set of model parameters and, in general, to treat cumulative damage processes in composites in a robust sense.

We conclude that, the proposed partial likelihood estimator can be used to make inference for β under various situations.

From a Bayesian perspective, the most common approach is to make inference for the model based on Markov Chain Monte Carlo (MCMC) methods [ 17].

MCMC is a very flexible methodology that can be used to make inference for any Bayesian model, and we can get posterior estimates for any random variable or parameter; marginally, jointly, or functions of them.

More pronounced family-correlated survival might be expected for younger juvenile stages than what we can make inference for, when the juveniles belonging to a sib-ship group are especially vulnerable and tend to be spatially clumped (Serbezov et al. 2010).

This is because infection is very unlikely to be detected until day 56, as such we have only 1 informative data point on the presence of infection within the barn for the 8 week time series, thus it is not possible to make inference for the 2 parameters with only 1 data point.