Sentence examples for use a simulated dataset from inspiring English sources

In this subsection, we use a simulated dataset to illustrate the usefulness of the generalized Birnbaun-Saunders distribution in modeling bimodal data and the estimation procedures studied in Section 4. We consider a two-fold Weibull mixture model which is commonly used to model two-fold competing risk failure mechanism involving two failure modes in reliability engineering.

For example, Wang and Bodner use a simulated dataset to study retirees' psychological well-being change trajectory when multiple unknown subpopulations exist [ 43].

We use a simulated dataset to illustrate how weighted generalized linear model regression can be used to estimate the association between an exposure captured during the case/control study component and an outcome that occurs during follow-up.

Here we use a simulated tree-cover dataset to show how CART methods may create discontinuities in predictions based on perfectly uniform data.

In general, these approaches use a simulated model for comparing the performance of preprocessing methods.

Finally, we generated a simulated dataset using that same approach that was used in the GISTIC2 publication (Mermel et al., 2011) to demonstrate the superiority of the GISTIC2 arbitrated peel-off procedure over the earlier greedy peel-off procedure used in GISTIC.

A simulated dataset was used as an example to evaluate our approach and we compared the results to those derived using our previously published algorithm on a real dataset from the Habanero geothermal field in the Cooper Basin, South Australia.

In brief, we initially illustrate the weighting approach and the graphical diagnostics described above using a single simulated dataset, where the missing data in the outcome are weakly MNAR (i.e. small departure from MAR (δ =0.2)).

This result is different from the pattern observed in [ 29], where PLSR showed considerably lower accuracy than BM and GBLUP in a simulated dataset that was very similar to the low-unequal architecture used here.

In our own simulation study, higher recombination rates result in a narrower footprint of selection (see: Identifying a selection target in a simulated dataset).

All optimizations were performed using a "simulated annealing" algorithm as described by Fernández and Toro [ 12].