Statistical Efficiency Measure
(Redirected from Efficiency (Statistics))
Jump to navigation
Jump to search
An Statistical Efficiency Measure is a system measure of a statistical system that ...
- See: Mean Square Error, Efficient Estimator, Experimental Design, Efficient Hypothesis Testing Procedure, Power (Statistics).
References
2019
- (Wikipedia, 2019) ⇒ https://en.wikipedia.org/wiki/Efficiency_(statistics) Retrieved:2019-8-21.
- In the comparison of various statistical procedures, efficiency is a measure of quality of an estimator, of an experimental design,or of a hypothesis testing procedure. Essentially, a more efficient estimator, experiment, or test needs fewer observations than a less efficient one to achieve a given performance. This article primarily deals with efficiency of estimators.
The relative efficiency of two procedures is the ratio of their efficiencies, although often this concept is used where the comparison is made between a given procedure and a notional "best possible" procedure. The efficiencies and the relative efficiency of two procedures theoretically depend on the sample size available for the given procedure, but it is often possible to use the asymptotic relative efficiency (defined as the limit of the relative efficiencies as the sample size grows) as the principal comparison measure.
Efficiencies are often defined using the variance or mean square error as the measure of desirability.
- In the comparison of various statistical procedures, efficiency is a measure of quality of an estimator, of an experimental design,or of a hypothesis testing procedure. Essentially, a more efficient estimator, experiment, or test needs fewer observations than a less efficient one to achieve a given performance. This article primarily deals with efficiency of estimators.
1987
- (Newey & West, 1987) ⇒ Whitney K. Newey, and Kenneth D. West. (1987). “Hypothesis Testing with Efficient Method of Moments Estimation.” International Economic Review