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TwerpySugar (talk | contribs) No edit summary |
TwerpySugar (talk | contribs) not absolutely sure i want to call this the variance of a "distribution", so i will play it safe and say what it is. |
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: The shortest vector corresponds to maximum uncertainty, the longest to maximum certainty.
: No two probability vectors in the <math>n</math> dimensional unit hypersphere are collinear unless they are identical.
: The length of a probability vector is equal to <math>\sqrt {n\sigma^2 + 1/n} </math>; where <math> \sigma^2 </math> is the variance of the
==See also==
* [[Stochastic matrix]]
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