<Dl> <Dt> Estimation of variance from sample data </Dt> </Dl> <Dt> Estimation of variance from sample data </Dt> <P> The value of (2 f (x)) − 2 (\ displaystyle (2f (x)) ^ (- 2))--the asymptotic value of n − 1 2 (ν − m) (\ displaystyle n ^ (- (\ frac (1) (2))) (\ nu - m)) where ν (\ displaystyle \ nu) is the population median--has been studied by several authors . The standard "delete one" jackknife method produces inconsistent results . An alternative--the "delete k" method--where k (\ displaystyle k) grows with the sample size has been shown to be asymptotically consistent . This method may be computationally expensive for large data sets . A bootstrap estimate is known to be consistent, but converges very slowly (order of n − 1 4 (\ displaystyle n ^ (- (\ frac (1) (4))))). Other methods have been proposed but their behavior may differ between large and small samples . </P> <Dl> <Dt> Efficiency </Dt> </Dl>

Symbol for number of data in a sample