chi_distribution
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Chi Distribution
In probability theory and statistics, the chi distribution is a continuous probability distribution. The distribution usually arises when a k-dimensional vector’s orthogonal components are independent and each follow a standard normal distribution. The length of the vector will then have a chi distribution. The most familiar example is the Maxwell distribution of (normalized) molecular speeds which is a chi distribution with 3 degrees of freedom.
Probability distribution function of the Chi distribution is:
f(x,a,b,v) = exp(-1) support a < x ⇐ Inf
| Parameter | Description | Default value |
|---|---|---|
| a | The location parameter | 0.0 |
| b | The scale parameter | 1.0 |
| v | The shape parameter | 2.0 |
1)
x-a)/b)^2/2)((x-a)/b)^(v-1)/(2^(v/2-1)bgamma(v/2
chi_distribution.1574080451.txt.gz · Last modified: 2019/11/18 13:34 by 127.0.0.1
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