| gaussian distribution |
normal distribution: a theoretical distribution with finite mean and variance
출처: wordnet.princeton.edu/perl/webwn
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| gaussian distribution |
{{Probability distribution| name =Normal| type =density| pdf_image =The green line is the standard normal distribution| cdf_image =Colors match the pdf above| parameters = location (real) squared scale (real)| support =| pdf =| cdf =| mean =| median =| mode =| variance =| skewness = 0| kurtosis = 0| entropy =| mgf =| char =|}}The normal distribution, also called Gaussian distribution, is an extremely ...
출처: en.wikipedia.org/wiki/Gaussian_distribution
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| gaussian distribution |
A gaussian, or normal, distribution is a symmetrical frequency distribution having a precise mathematical formula relating the mean and standard deviation of the samples. Gaussian distributions yield bell shaped frequency curves having a preponderance of values around the mean with progressively fewer observations as the curve extends outward.
출처: www.brendan.com/Glossary.htm
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| gaussian distribution |
The distribution of events in a bell shaped curve. This is similar to the sigmoid curve and is derived mathematically but applies to many situations. It indicates there is generally a majority in the middle with extremes at either end. Here the actual number of events is used, where in the sigmoid curve it is the rate of change. A common example is the distribution of grades in a class.
출처: ag.arizona.edu/futures/home/glossary.html
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| gaussian distribution |
the engineering term for a normal distribution.
출처: www.gpsqtc.com/library/ghijkl.shtml
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