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 in
survival theory,
reliability engineering and
life insurance to estimate the cumulative number of expected events. An "event" can be the failure of a non-repairable component, the death of a human being, or any occurrence for which the experimental unit remains in the "failed" state (e.g., death) from the point at which it changed on. The
estimator
In statistics, an estimator is a rule for calculating an estimate of a given quantity based on observed data: thus the rule (the estimator), the quantity of interest (the estimand) and its result (the estimate) are distinguished. For example, the ...
is given by
:
with
the number of events at
and
the total individuals at risk at
.
The curvature of the Nelson–Aalen estimator gives an idea of the hazard rate shape. A concave shape is an indicator for
infant mortality while a convex shape indicates
wear out mortality.
It can be used for example when testing the homogeneity of
Poisson process
In probability, statistics and related fields, a Poisson point process is a type of random mathematical object that consists of points randomly located on a mathematical space with the essential feature that the points occur independently of one ...
es.
It was constructed by
Wayne Nelson
Wayne Nelson (born June 1, 1950) is an American musician best known for being the current lead singer of the rock band Little River Band, in which he also plays bass.
Shortly after his birth, Nelson's family moved to Rome, Illinois, a suburb ...
and
Odd Aalen.
See also
*
Kaplan–Meier estimator
The Kaplan–Meier estimator, also known as the product limit estimator, is a non-parametric statistic used to estimate the survival function from lifetime data. In medical research, it is often used to measure the fraction of patients living ...
References
Further reading
*
External links
{{DEFAULTSORT:Nelson-Aalen Estimator
Life insurance
Reliability engineering
Survival analysis