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gamma_r=(kappa_r)/(sigma^(r+2)), where kappa_r are cumulants and sigma is the standard deviation.

If a distribution has a single mode at mu_0, then P(|x-mu_0|>=lambdatau)<=4/(9lambda^2), where tau^2=sigma^2+(mu-mu_0)^2.

A set of statistical distributions having different variances.

A set of statistical distributions having the same variance.

A distribution with a high peak so that the kurtosis excess satisfies gamma_2>0.

Given a point set P={x_n}_(n=0)^(N-1) in the s-dimensional unit cube [0,1)^s, the local discrepancy is defined as D(J,P)=|(number of x_n in J)/N-Vol(J)|, Vol(J) is the ...

A minimization of the maximum error for a fixed number of terms.

alpha^((m))=1/2gamma_1=(mu_3)/(2sigma^3), where gamma_1 is the skewness.

A statistical test in which assumptions are made about the underlying distribution of observed data.

A distribution with kurtosis excess gamma_2<0, and therefore having a flattened shape.