Sentence examples for parametric alternatives from inspiring English sources

Unlike parametric alternatives for time series generation, non-parametric approaches generate new values by conditionally resampling past observations using a probability rationale.

There is some evidence that these methods are preferable to fully parametric alternatives for skewed distributions [ 20] and there remains the possibility of using standard ANCOVA for obtaining estimates of treatment effects and the semi-parametric test for inference.

The use of the Cox model offers greater flexibility than parametric alternatives and, in particular, does not require the direct estimation of the baseline hazard function (i.e. it avoids the need to specify the distribution of the survival times).

In the detection of vQTL, it is therefore especially important to recognize such relationships at an early stage and apply suitable normalizations or explore parametric alternatives to the normal distribution to avoid QTL affecting the mean appearing also to affect the variance.

These further parametric alternatives aim to achieve better fit to data (e.g. in terms of deviance) but studies failed to confirm that better fit translates into more reliable inferences potentially due to models over-fitting extreme observations (Nixon and Thompson, 2004; Thompson and Nixon, 2005).

We validate our model on both benchmark and real datasets, demonstrating that the proposed formulation yields significant performance gains relative to a parametric alternative, which we also propose.

Propensity score methods are being increasingly used as a less parametric alternative to traditional regression to balance observed differences across groups in both descriptive and causal comparisons.

Specifically, we compare the structured additive models (i.e., M1, M2 and M3) with the simpler parametric alternative (M0).

It is evident from the above table that the nonparmateric empirical Bayes is much conservative compared to its parametric alternative.

A parametric alternative to the Cox model, known as a flexible parametric survival model, is fitted on the log cumulative hazard scale [ 20, 21].

As the major assumption of this model (proportional hazards) was rejected for two covariates (age and stage), a parametric alternative model was explored.