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Extropy estimators with applications in testing uniformity

Guoxin Qiu and Kai Jia

Journal of Nonparametric Statistics, 2018, vol. 30, issue 1, 182-196

Abstract: Two estimators for estimating the extropy of an absolutely continuous random variable with known support were introduced by using spacing. It is shown that the proposed estimators are consistent and their mean square errors are shift invariant. Their behaviours were also studied by means of real data and Monte Carlo simulation. The winner estimator of extropy in the Monte Carlo experiment was used to develop goodness-of-fit test for standard uniform distribution. It is shown that the extropy-based test that we proposed performs well by comparing its powers with that of other tests for uniformity.

Date: 2018
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Handle: RePEc:taf:gnstxx:v:30:y:2018:i:1:p:182-196