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L-Moment


An L-moment is a linear combination of the expected values of order statistics used to summarize the location, scale, and shape of a probability distribution. If X_(k:n) denotes the kth order statistic in an independent sample of size n, then the rth population L-moment is

 lambda_r=1/rsum_(k=0)^(r-1)(-1)^k(r-1; k)E(X_(r-k:r)).

In particular, lambda_1 is the mean, lambda_2 measures scale, and the ratios lambda_3/lambda_2 and lambda_4/lambda_2 measure L-skewness and L-kurtosis, respectively. Population L-moments are finite whenever the distribution has a finite mean, and sample L-moments are generally less sensitive to extreme observations than conventional sample moments.


See also

Kurtosis, Moment, Order Statistic, Skewness

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References

Hosking, J. R. M. "L-Moments: Analysis and Estimation of Distributions Using Linear Combinations of Order Statistics." J. Roy. Stat. Soc. B 52, 105-124, 1990.

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L-Moment

Cite this as:

Weisstein, Eric W. "L-Moment." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/L-Moment.html

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