More efficient L-Estimates

We propose more efficient L-estimates by using pairwise averages of the observations instead of the observations themselves. For instance, we show that minimum variance quantile estimation of the mean parameter in the exponential distribution improves from 65% to 88%. Simulations show similar improvements in frequently used scale and location estimators like the interquartile range, MAD, and trimmed mean.