Sentence examples for making inferences on from inspiring English sources
Because they are abundant, widely distributed in the genome, and highly polymorphic, microsatellites have become one of the most popular genetic markers for making inferences on molecular evolution and population genetics (S hikano et al. 2010; S pong et al. 2010).
The practice of selecting one model from a series of proposed models and making inferences on the basis of the selected model ignores model uncertainty.
According to the theorem, in making inferences on the basis of partial information, we must use the probability distribution which has maximum entropy subject to whatever is known.
The procedures for making inferences on differences in the proportions of successes using independent as well as dependent samples from two binomial populations are also provided.
Alternatively, making inferences on the effective connectivity between reading areas may circumvent this spatial overlap problem and be more suitable for revealing neuro-functional links underlying the DRC model while teasing apart different theoretical viewpoints [13].
Visual representations in WM are maintained and updated throughout the course of a task either by using continuous, 'just-in-time' acquisition of environmental information, as has been shown for saccadic gaze behavior [17], or by making inferences on already existing memorized information, or both.
Specifically, because of its generality, several aspects should be taken into account when making inference on the CES class.
Nevertheless, most research on this topic deals with particular species or with road features, describing proximate correlates and rarely making inference on the mechanisms.
With the development of methodologies for making inference on the distribution of D, the design issue has also attracted some attention although not so greatly.
Different models and modeling techniques can be used for making inference on the same time series data.
As K&Y indicate, making inference on the genetic regulatory network (GRN) depends heavily on the finding the true correlation on the individual cell level, not on the aggregated level.
