Title: A test for the geometric distribution based on linear regression of order statistics
Abstract: This paper proposes and studies a novel test for the geometric distribution which is based on a characterization of that law in terms of the conditional expectation of the second order statistic, given the value of the first order statistic. The asymptotic null distribution of the test statistic and its limit under general conditions are derived, proving that it is consistent against fixed alternatives. It can also detect alternatives converging to the null at the rate n−1∕2, n denoting the sample size. A weighted bootstrap and a parametric bootstrap can be used to consistently estimate the null distribution. The finite sample performance of these two bootstrap approximations is assessed via simulation. The power of the new test is numerically compared with that of some existing tests, concluding that the proposal presents a competitive behavior.
Publication Year: 2020
Publication Date: 2020-09-07
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 4
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