the Hodges–Lehmann estimator is a consistent and median-unbiased estimate of the population median. For non-symmetric populations, the Hodges–Lehmann estimator...

the Hodges–Lehmann estimator is a robust and highly efficient estimator of the population median; for non-symmetric distributions, the Hodges–Lehmann estimator...

one of the eponyms of the Lehmann–Scheffé theorem and of the Hodges–Lehmann estimator of the median of a population. Lehmann was born in Strasbourg, Alsace-Lorraine...

delete-1, such as the delete-m jackknife or the delete-all-but-2 Hodges–Lehmann estimator, overcome this problem for the medians and quantiles by relaxing...

rest of his career. Hodges is best known for his contributions to the field of statistics, including the Hodges–Lehmann estimator, the nearest neighbor...

the bootstrap. Given a sample of size n {\displaystyle n} , a jackknife estimator can be built by aggregating the parameter estimates from each subsample...

}_{\bar {x}}\ \approx {\frac {\sigma _{x}}{\sqrt {n}}}.} As this is only an estimator for the true "standard error", it is common to see other notations here...

{\displaystyle g_{2}} above is a biased estimator of the population excess kurtosis. An alternative estimator of the population excess kurtosis, which...

of quality of an estimator, of an experimental design, or of a hypothesis testing procedure. Essentially, a more efficient estimator needs fewer input...

estimates. Unfortunately, when there are outliers in the data, classical estimators often have very poor performance, when judged using the breakdown point...