The Nelson–Aalen estimator is a non-parametric estimator of the cumulative hazard rate function in case of censored data or incomplete data. It is used...

Kaplan-Meier estimator is directly related to the Nelson-Aalen estimator and both maximize the empirical likelihood. The Kaplan–Meier estimator is a statistic...

}_{\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...

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

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

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

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

estimator approaches the MAP estimator, provided that the distribution of θ {\displaystyle \theta } is quasi-concave. But generally a MAP estimator is...

small number of outliers are irrelevant. Because the MAD is a more robust estimator of scale than the sample variance or standard deviation, it works better...

minimum-variance unbiased estimator (MVUE) or uniformly minimum-variance unbiased estimator (UMVUE) is an unbiased estimator that has lower variance than...