| normal distribution |
If a random variable, X, occurs with probability P(X=x) = e (x-mu) 2 / (sigma) 2 then the random variable X is called a "normal" random variable, with mean = mu and standard deviation given by sigma.
출처: www.math.tamu.edu/FiniteMath/FinalBuild/Fall2001/M...
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| normalization |
In the context of medical PET imaging, we define the process of normalization as the linear scaling of PET data volumes, ie, by dividing the PET scan's data volume by the ``average Brain value'' calculated on that same scan. This effectively removes global CBF variance since global CBF and regional CBF can vary independently. We then observe a relative (%) measure. This procedure is done currently via a program called normalize_volume, refer to section [*] for more information.
출처: www.bic.mni.mcgill.ca/users/sylvain/doc/html/dot/n...
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| normalization |
Transformation of data to a normal form--for example, to unify spelling. (See Section 5.7, Normalization .)
출처: pipin.tmd.ns.ac.yu/unicode/www.unicode.org/glossar...
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| normal distribution |
A term synonymous with the standard normal distribution. The normal distribution (a bell-shaped curve) represents a theoretical frequency distribution of measurements. In a normal distribution, scores are concentrated near the mean and decrease in frequency as the distance from the mean increases.
출처: www.doe.state.in.us/asap/definitions.html
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| normal distribution |
A frequency distribution that predicts the probability that a variable will take a certain value; the distribution is symmetrical about the mean value. Based on statistical theory, the normal distribution underlies much statistical analysis
출처: www.learn.londonmet.ac.uk/packages/clear/glossary/...
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