Sentence examples for subset procedure from inspiring English sources

The best subset procedure selected the best 20 models under a 10% hard omission threshold and a 50% commission threshold.

The model contained eight explanatory variables consisting of both height percentiles and canopy density metrics selected using the best subset procedure.

To determine significant differences between growth inhibition on the 4 parasite strains (3D7, FVO, L32, and M24), we used an all-subset procedure with Friedman's test, with the family-wise p-value defined as the lowest family-wise significance level that declares all pairs significantly different [30].

The best subsets procedure was implemented to select optimal models for B. anthracis using an extrinsic omission measure and the selection of 20 models under a hard omission threshold of 10% and a commission threshold of 50%.

To provide a test of the ability of our models to predict the distribution of human or canine blastomycosis in areas from which no input data are present, we used a spatially stratified subsetting procedure (see references [17] and [20] for other examples).

Due to the random-walk nature of GARP, we implemented the "best subsets" procedure [35] to retain 10 models based on two error statistics, omission (excluding known presence data) and commission (including areas without confirmed presence of species, but which are potentially habitable).

To provide a test of the ability of our ENMs to predict the distribution of human monkeypox cases into areas from which no input data are present, we used a spatially stratified subsetting procedure that we term the 'quadrant test' (see [24] for another example) to challenge model predictive ability.

A best subsets procedure within GARP then selects a set of optimal models based on user defined omission and commission criteria [ 48].

Besides accessors, data handling is also facilitated by a subsetting procedure (function subset) which allows one to isolate data for given sets of individuals, samples, genes, sequences, or from a given time window.

That the large and small southern outbreak experiments showed a lesser degree of model agreement than the outbreak-soil experiment and that the large outbreak subsetting procedure had improved spatial homogeneity over the small southern outbreaks subsetting indicates that projected models may be sensitive to issues of sample size and clustering.

Based on the concept of generalized subset selection procedure, some selection procedures for normal populations are proposed and studied.