For instance, methods dedicated to contention-based access for massive number of devices without scheduled access and multi-user detection facilitated by compressive sensing are good candidates to reduce signaling.
Classes have factory objects, containing class methods and variables, and instance objects, containing instance methods and variables.
For instance, methods were reported that, to our knowledge, do not exist: e.g. "multiple variance analysis" or the "least squares difference" post-hoc test after ANOVA.
For instance, methods like quadratic discriminant analysis are excluded because they seem to perform poorly [ 19] and are not often used in practice.
For instance, methods that condition on parental genotypes are expected to be less sensitive to population stratification and departures from Hardy Weinberg Equilibrium.
For instance, methods for prediction of genetic merit or phenotype using a large number of markers must be contrasted and improved.
For instance, methods based on linear models perform poorly on highly non-linear data such as may arise from drastic perturbations like gene knockouts, whereas non-linear methods may perform well in these scenarios [ 16].
For instance, methods employed to screen for and detect FGR might include obtaining previous history of small babies, recording symphyseal fundal height on a customised growth chart and estimating fetal weight with ultrasound [ 7].
Instance methods, on the other hand, work on records and for example provide access to specific data for a single column in a given row (e.g. my_gene.start).start
For instance, methods have been developed to predict species abundances in plant communities from functional traits at the community level (Shipley, Vile & Garnier, 2006) and functional similarity between potentially coexisting species (Mouillot, Mason & Wilson, 2007).
