Normal Distribution

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Normal Distribution

The well known bell shaped curve. According to the Central Limit Theorem, the probability density function of a large number of independent, identically distributed random numbers will approach the normal distribution. In the fractal family of distributions, the normal distribution only exists when alpha equals 2, or the Hurst exponent equals 0.50. Thus, the normal distribution is a special case which in time series analysis is quite rare. See: Alpha, Central Limit Theorem, Fractal Distribution.

Bell Curve

A curve on a chart in which most data points cluster around the median and become less frequent the farther they fall to either side of the median. When plotted on a chart, a bell curve looks roughly like a bell.
References in periodicals archive ?
The cumulative normal distribution is used for Probit estimation of binary (0-l) data.
2]), negative cumulative normal distributions were fit by probit analysis to the 187 seed-survival curves.
According to the sigmoid curves of the cumulative normal distribution, the initial differences between seed lots will increase during the aging period, with average germination approaching 50% (Fig.

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