Sentence examples for methods with fixed from inspiring English sources

Exact(4)

For these non-iterative methods (with fixed variance "phenotypes" coming from a linear mean model), animal variance models could be fitted.

Many MPPT methods with fixed step size have been developed.

It is demonstrated that the exact substructure methods with fixed or free interfaces are two limiting cases of this new mixed-mode exact method.

36 To handle studies that reported zero outcomes for mortality, we performed a series of sensitivity analyses comparing Peto, Mantel-Haenszel, and inverse variance statistical methods with fixed and random effect with 0.5 continuity correction.

Similar(56)

Results are plotted for the autoradiography (ARG), the basis function methods with fixing partition coefficient (BFMF), the basis function methods without fixing partition coefficient (BFMP), and ATB correction (BFMAT).

This method is used to propose a new standardized CDR testing method, with fixed geometry and no overpressure.

By considering the water absorption of lightweight aggregate (LWA), two mix proportions for SCLC are designed by the overall calculation method with fixed fine and coarse aggregate contents.

The Mantel-Haenszel method with fixed effects exhibited significant ORs in both the allelic model (OR = 1.23, 95% CI = 1.16 to 1.31, P <10-4) and the dominant/recessive genotype model (OR = 1.31, 95% CI = 1.20 to 1.44, P <10-4).

Despite the fact that SLAN achieved lower AUC value than SW in one of three individual categories, the superior accuracy of SLAN over all the GO terms used (shown in [3-100] [3-100] categoverallmonstrates its ability to improve networks producategory simple network integration methodemonstrates and equal network weitsts.

After automatic rigid transformation (Mirada Fusion7D) using two algorithms (rigid fast (RF), rigid slow (RS, MTVTV and maximal standardized uptake value (SUVmax) were determined applying four different segmentation methods with either fixed or background-adapted thresholding and compared to OR-PET data.

This can be explained by the fact that the period was allowed to vary within each sequence fragment but with a mean of 10 bp, so that Fourier methods with a fixed 10 bp period basis function are better suited to the problem than autocorrelation, which depends on exact similarity between s[ n] and s[ n + 10] for the n'th sequence position index.

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