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- W2580492621 abstract "The exponential distribution is a popular model both in practice and in theoretical work. As a result, a multitude of tests have been developed for testing the hypothesis that observed data are realised from this distribution. Many of the recently developed tests contain a tuning parameter, usually appearing in a weight function. These tests are often evaluated over a grid of values for this parameter. However, this method does not lend itself to objective comparisons because the power of the test is highly dependent on the value of the tuning parameter. In this paper we compare the performance of tests that contain a data-dependent choice of the tuning parameter to other classical tests (which do not contain a tuning parameter). It is found that the tests based on the data-dependent choice of the tuning parameter compare favourably to the classical tests." @default.
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- W2580492621 date "2015-01-01" @default.
- W2580492621 modified "2023-10-06" @default.
- W2580492621 title "An objective comparison between goodness-of-fit tests for exponentiality" @default.
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