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The phrase "attributes and statistical" is not correct as it is incomplete and lacks context.
It could be used in contexts discussing data analysis, research, or statistics, but it needs to be part of a complete thought or sentence.
Example: "The study examined various attributes and statistical measures to determine the correlation between the variables."
Alternatives: "characteristics and statistical" or "features and statistical".
Exact(1)
Such models involve substantive assumptions about the attribute, including its internal structure and its relations to other attributes, and statistical assumptions about the correlation among different measures (Campbell & Fiske 1959; Nunnally & Bernstein 1994: Ch. 3; Angner 2008).
Similar(59)
PLASTIC's design is based on clustering in the query space, rather than in the plan space, and its query feature vector includes a variety of structural and statistical attributes.
Investigation of the technical and statistical attributes of the data will reveal the advantages and disadvantages of each technology.
At the human population level, however, biological and statistical attributes tend to smooth and linearize the dose response relationship, obscuring thresholds that might exist for individuals.
Another parametric approach is based on the statistical modeling of the signal according to its statistical attributes and assumptions.
The present study proposes a methodology for estimating the C-factor in the European Union (EU), using pan-European datasets (such as CORINE Land Cover), biophysical attributes derived from remote sensing, and statistical data on agricultural crops and practices.
This is because that the Sun-Earth coupling system is of non-stationary statistical attributes, and the frequency is of discrete type.
The expression values must be imported as node attributes and due to the statistical model utilized, only data with at least two replicates per condition can be processed.
If we include aggregate European R&D and liquidity alongside local time series (Columns "Incl. Aggregates"), most of the economic and statistical significance is attributed to the aggregate variable, not the local one.
PACL can discern a set of vital attributes (statistical and application-based) from user's network traffic, and predict user's contextual location with a very high accuracy.
Studies have sought to examine the relationship between ICT use and clinical indicator or outcome [ 29], quantitative, descriptive studies examining rates of use [ 30, 31] and statistical correlations between user attributes and patterns of use [ 30].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com