Sentence examples for ad hoc fitting from inspiring English sources

Exact(3)

In addition to ArcGIS's Geostatistical Analyst (based on the ad hoc fitting methods), we used the geoR package (based on maximum likelihood) in R Version 14.0 to model the spatial autocorrelation.

Our approach extends this approach to a proteome-wide scale and demonstrates that beyond its role as a ad hoc fitting function the Gamma-distribution indeed provides an excellent quantitative description of variability of intra-protein substitution rates.

The rate of change (tendencies) of cumulative activities can be approximated with ad hoc fitting of straight lines where the rates of cumulative activity are the slopes of the lines ± their standard estimation errors (95% confidence).

Similar(57)

This procedure circumvents the introduction of ad hoc curve fitting measures for the different regions and subsequent, unwanted discontinuities in piece-wise fitted correlative equations for the dependent variables.

By performing mathematical analysis of the model (1)–(2), we will show that the convincing but ad hoc parameter fitting exercise in [ 12] can be extended to a fully Bayesian setting.

The ad hoc meeting fitted Mr. Bush's preference to view gays as fellow Republicans and not an interest group.

An ad hoc cloud fits very well to the scenario where one wants to venture into remote areas for providing education services using a cloud.

With the same physical variables used previously, the cross-validation DSA returned a model comparable with the one obtained through our ad hoc model fit; therefore, we present results from the DSA fitting.

Geographical structure based on STRUCTURE revealed that two genetic clusters (K = 2) had the best ad hoc statistical fit (Fig.  3).

A series of talks and events is being programmed, with an ad hoc approach that fits the building's aesthetic, though both Wentworth and Gruppe hope the structure will take on a life of its own.

Genes were then ordered by an ad-hoc method (fitting the probe intensity histogram with a mixture of two gamma distributions, representing low and high intensities of probes, and computing the relative probability that transcripts are from the first or second distribution).

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