Sentence examples for sample parameters like from inspiring English sources

The effects of critical system and sample parameters like signal-to-noise ratio and bulk scattering are present in the recorded signal from which contrast is determined.

However, sampling of additional nuclear markers (e.g., microsatellites) to quantitatively assess population parameters like gene flow would be necessary to fully test the hypothesis that M. torreya comprises a single cohesive species.

You upload an image, or use a sample, changing parameters like line separation and thickness until you're happy with the result.

For all samples collected, parameters like pH, electrical conductivity (EC) and total dissolved solids (TDS) were measured in the field.

Various methods are employed for measuring biomass/carbon include destructive (total harvesting of sample), nondestructive (measurable parameters like basal area, height, tree density), tree inventories data, species-specific biomass estimation, and remote sensing methods (Brown et al. 1989, 1999; Lu 2006; Murali et al. 2005).

Essentially, overfitting is a consequence of having a large number of learnable parameters relative to training samples — parameters being those "neurons" that we were exhaustively adjusting via backpropagation in our previous article.

The etching time is 45 min for the sample A and 60 min for the sample B keeping other parameters (like laser power density, wavelength, and concentration of HF) the same.

This threshold is likely to vary depending on the study design parameters like sample size and sequencing depth, and is expected to be lower for African-descent populations.

Besides probe specific properties like the (non- radiative decay rate of the inon- radiativeonic transitions also experimental parameters like sample absorption, collection andecayection efficiency of the given setup deteratee the number of dethetable photons.

Therefore study planning parameters like sample size still are calculated on the basis of the outcome of the clinical parameters.

In fact, the aim is approached by the prediction profile likelihood in a very efficient manner because scanning the parameter space by the constrained optimization procedure to explore the data-consistent predictions is more efficient than sampling parameter space without considering the predictions like it is performed for MCMC.