Gaussian Distribution (Noun)
Meaning
A theoretical distribution with finite mean and variance.
Classification
Nouns denoting cognitive processes and contents.
Examples
- The normal model of a gaussian_distribution is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean.
- The expected value of a gaussian_distribution can be any real number.
- In the context of a gaussian_distribution, the finite mean does not have to be zero since the distribution can be shifted to any value.
- The gaussian_distribution has equal finite variance in all directions when considered in higher dimensions.
- Parameters that define a gaussian_distribution include the mean and the standard deviation squared, or variance, which estimate the spread or dispersion from the mean.