L-moments are a set of statistics that provide a way to summarize and describe the characteristics of a probability distribution, especially in the context of random variables. They are analogous to conventional moments (such as mean, variance, skewness, and kurtosis) but have several advantages, particularly in terms of robustness and applicability to both continuous and discrete distributions. The "L" in L-moments stands for "linear," indicating that they are based on linear combinations of the ordered data values.
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