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All quantitative variables were estimated using measures of central location (mean, median) and measures of dispersion (standard deviation).
Various existing methods for image processing have utilized some or the other measures of dispersion to identify the outliers.
We conducted a preliminary analysis to determine the normality of the data, measures of central tendency, and measures of dispersion.
Quantitative variables were described using measures of central tendency (mean and median) and measures of dispersion as standard deviation (SD).
Based on these individual densities I compute various quantiles and measures of dispersion, and study their association with respondent and house characteristics.
As mentioned earlier, statistical parameters such as measures of dispersion have been utilized in setting of the three thresholds in TTSD.
The measures of dispersion used in this proposed algorithm for setting different thresholds are the mean, the standard deviation, and the quartile.
This study compared estimates of fibre orientation dispersion in white matter derived from diffusion MRI to reference measures of dispersion obtained from polarized light imaging and histology.
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Measurement data are expressed as means with standard error of the mean as measure of dispersion.
Fig. 1 Standard deviation as a measure of dispersion.
LOA are a measure of dispersion between both methods.
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estimates of dispersion
mechanisms of dispersion
measures of variance
measures of diffusion
procedure of dispersion
risk of dispersion
measures of dispersed
assessment of dispersion
measures of delinquency
measures of well-being
measures of misery
measures of boredom
measures of privacy
measures of worklessness
measures of revenue
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