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Interpretable metrics for evaluating fidelity, diversity, and privacy in synthetic EEG data
Silveira I +8 more
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COSMIC Measurements Dispersion
2012 Joint Conference of the 22nd International Workshop on Software Measurement and the 2012 Seventh International Conference on Software Process and Product Measurement, 2012Over the years, software functional size measurement has become a viable tool to determine the effort and time needed to carry out a software project. This growth has led to an increased interest, as shown in several studies, as well as to the development and optimization of functional size measurement units.
Juan Jose Cuadrado-Gallego +5 more
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2021
In the last chapter, we covered how to use R functions to calculate various measures of central tendency. But while it is certainly useful to know the mean of a given variable you are examining, it is even more helpful if you also know the spread, or dispersion, of cases around this mean.
Alese Wooditch +4 more
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In the last chapter, we covered how to use R functions to calculate various measures of central tendency. But while it is certainly useful to know the mean of a given variable you are examining, it is even more helpful if you also know the spread, or dispersion, of cases around this mean.
Alese Wooditch +4 more
openaire +1 more source
2018
The dispersion may be defined as “the extent to which the magnitudes or qualities of the items differ,” that is, the degree of diversity. A distribution is not adequately described by knowing the measure of central tendency alone. Absolute dispersions are expressed in the units the measurements are made, whereas relative dispersion is a pure number ...
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The dispersion may be defined as “the extent to which the magnitudes or qualities of the items differ,” that is, the degree of diversity. A distribution is not adequately described by knowing the measure of central tendency alone. Absolute dispersions are expressed in the units the measurements are made, whereas relative dispersion is a pure number ...
+4 more sources
2019
Background Range Interquartile range Coefficient of quartile deviation Mean deviation Mean square deviation (variance) Variance and standard deviation Coefficient of variance Skewness ...
Shakti Kumar Yadav +2 more
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Background Range Interquartile range Coefficient of quartile deviation Mean deviation Mean square deviation (variance) Variance and standard deviation Coefficient of variance Skewness ...
Shakti Kumar Yadav +2 more
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Interferometer for Dispersive Measurements
Physical Review LettersWe suggest the use of broadband frequency modulation to construct a novel type of optical interferometer. This interferometer is insensitive to optical phase and allows measurement of the group velocity and group velocity dispersion without the need for short pulse apparatus.
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1991
In the previous chapter on measures of location we considered the first of two important summary descriptive measures. In this chapter we will discuss the second of these two measures, a measure of the spread or dispersion of the data. Recall that at the beginning of Chapter 4 we considered the frequency distributions of male and female absenteeism ...
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In the previous chapter on measures of location we considered the first of two important summary descriptive measures. In this chapter we will discuss the second of these two measures, a measure of the spread or dispersion of the data. Recall that at the beginning of Chapter 4 we considered the frequency distributions of male and female absenteeism ...
openaire +1 more source
2016
The last chapter considered several measures in which we can summarize a set of data using just one value. However, as was concluded, these single values do not say very much about the data itself and how it is dispersed (its spread). For instance, it is possible to take two separate sets of data with the same mean, but with great differences in ...
openaire +1 more source
The last chapter considered several measures in which we can summarize a set of data using just one value. However, as was concluded, these single values do not say very much about the data itself and how it is dispersed (its spread). For instance, it is possible to take two separate sets of data with the same mean, but with great differences in ...
openaire +1 more source