… C-moments in this paper for convenience, and L-moments? This brings into focus such
issues as the inversion of L-moments … and L-moments and, finally, the computation of C-moments …

… L-moments form the basis for a general theory which includes the … L-moments can be
defined for any random variable whose expected value exists. The main advantage of L-moments …

… based on L-moments have … of L-moments over conventional moments is that L-moments,
being linear functions of the data, suffer less from the effect of sampling variability: L-moments …

… In this paper, the respective virtues of C-moments and linear moments (L-moments) are
exploited to formulate a new style of nonlinear transformation. Combinations of these two types …

… However, L-moments and their estimations lack some robust features that belong to the
TL… L-moments, which are called trimmed L-moments. This paper deals with the use of L-moments …

… the first three L-moments and proposes a novel L-moments-… C-moments. This observation
accentuates the superior performance of the L-moments method compared to the C-moments …

… Using equations (6)−(9) and (10), we obtain both the expressions for L-moments and L-moments
ratios for lognormal and generalized Pareto probability distributions, see Table 1. …

… of TPNT based on L-moments over that of C-moments. … performs better than the TPNT based
on C-moments, especially … on L-moments and C-moments are 3.24 and 3.86, respectively. …

… Looking at the need for higher order moments, we find that both C-VRS and NC-VRS
models need higher order moments when using C-moments but less so using L-moments, with …

… L-moments in the case of small data sets from the meteorology is primarily known in statistical
literature. This paper deals with the use of L-moments … of the method of L-moments with an …