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author | Eric Firing <efiring@hawaii.edu> | 2015-01-30 15:36:19 -1000 |
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committer | Eric Firing <efiring@hawaii.edu> | 2015-01-30 15:36:19 -1000 |
commit | 934b6d6a1ea7057044ce8d63f2dd9b942f92ab86 (patch) | |
tree | 1056af93cfc9f66eec3b579e491ff048cd4a5ab3 | |
parent | ea5202880e2e1876d9baa2a65e7987c99be0459b (diff) | |
download | numpy-934b6d6a1ea7057044ce8d63f2dd9b942f92ab86.tar.gz |
DOC: correct erroneous description of Rayleigh distribution
-rw-r--r-- | numpy/random/mtrand/mtrand.pyx | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/numpy/random/mtrand/mtrand.pyx b/numpy/random/mtrand/mtrand.pyx index ed582767a..703e9ec28 100644 --- a/numpy/random/mtrand/mtrand.pyx +++ b/numpy/random/mtrand/mtrand.pyx @@ -3324,10 +3324,10 @@ cdef class RandomState: .. math:: P(x;scale) = \\frac{x}{scale^2}e^{\\frac{-x^2}{2 \\cdotp scale^2}} - The Rayleigh distribution arises if the wind speed and wind direction are - both gaussian variables, then the vector wind velocity forms a Rayleigh - distribution. The Rayleigh distribution is used to model the expected - output from wind turbines. + The Rayleigh distribution would arise, for example, if the East + and North components of the wind velocity had identical zero-mean + Gaussian distributions. Then the wind speed would have a Rayleigh + distribution. References ---------- |