Sentence examples for statistical objects from inspiring English sources
The phrase "statistical objects" is correct and can be used in written English
It is typically used in the context of statistics and data analysis. Example: "The researcher conducted a thorough analysis of the statistical objects in the dataset before drawing any conclusions."
Lindley received various honours, including the Royal Statistical Society's Guy Medal in Gold (2002), and has various statistical objects named after him, including Lindley's paradox and Lindley's equation.
The statistical objects of RPRANK are the conformation differences between residue-base pairs.
Information geometry concerns the interpretation of statistical objects in a geometric fashion.
The mean is often used to present the general level of the statistical objects.
However, the algorithm uses statistical object area method, which is very difficult to calculate because the target object is irregular shape in images, to compute salient objects.
She has worked on tracking animals, cells, gestures, people and vehicles, video-based human-computer interfaces, statistical object recognition and medical imaging analysis.
To focus on the degenerative changes with ageing phenomena in the vertebral bones, the statistical examination objects were confined to the skeletons older than 60 years old, 22 individuals from the SIB group (73.0 years old on average) and 48 individuals from the Non-SIB group (71.3 years old on average) (Step 3 in Figure 1).
In such a case, priors may reveal something about the statistical likelihood of objects or events in the environment.
It has been argued that the tilt illusion ultimately has its roots in the statistical relationship between objects in natural visual scenes, and their oriented projections on the retina [48], as does the tendency to perceive vertical line segments longer than horizontal ones of the same length [49].
The critical aspect of a MCS is that it is well suited to treating drift, which means that the statistical dependencies between object features and its classification may change in time so that future data may be badly processed if we maintain the same classification.
We describe the construction of a stable phantom that represents the statistical effect of object turbidity on the image recorded.
