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alpha=1/Nsum_(i=1)^N|x_i-mu|=<|x_i-mu|>.
An estimator which exhibits estimator bias.
A statistical distribution having two separated peaks.
An interval into which a given data point does or does not fall.
The converse of Fisher's theorem.
If X and Y are independent variates and X+Y is a normal distribution, then both X and Y must have normal distributions. This was proved by Cramér in 1936.
The difference between a quantity and its estimated or measured quantity.
The ratio of two independent estimates of the variance of a normal distribution.
A grouping of statistics.
nu_((r))=sum_(x)x^((r))f(x), where x^((r))=x(x-1)...(x-r+1).

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