The Kaplan–Meier estimator, also known as the product limit estimator, is a non-parametric statistic used to estimate the survival function from lifetime...

Nelson-Aalen estimator is directly related to the Kaplan-Meier estimator and both maximize the empirical likelihood. "Kaplan–Meier and Nelson–Aalen Estimators"....

The Dvoretzky–Kiefer–Wolfowitz inequality is obtained for the Kaplan–Meier estimator which is a right-censored data analog of the empirical distribution...

Lynn Kaplan (May 11, 1920 – September 26, 2006) was a mathematician most famous for the Kaplan–Meier estimator, developed together with Paul Meier. Edward...

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

next observation time. The Kaplan–Meier estimator can be used to estimate the survival function. The Nelson–Aalen estimator can be used to provide a non-parametric...

quantiles from a sample Frequency (statistics) Empirical likelihood Kaplan–Meier estimator for censored processes Survival function Q–Q plot A modern introduction...

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

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

}_{\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...