Abstract
A new test of fit for the doubly exponential distribution with unknown parameters is proposed. This test, based on sample entropy, has the desirable properties compared with several nonparametric tests and the Mann test. The propoosed test statistic is easily calculated by use of the minimum variance linear unbiased estimator andcan beapplicable to the censored samples.