Transform methods for testing the negative binomial hypothesis

Transform methods for testing the negative binomial hypothesis
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检验负二项式假设的变换方法

DOI:
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发表时间:
2005
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通讯作者:
S. Meintanis
S. Meintanis
中科院分区:
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文献类型:
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作者:
S. Meintanis

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我们采用经验概率生成功能来构建负二项式分布的拟合优点测试。所提出的测试形成为加权积分,被证明是一致的,并研究了其渐近无效分布。随着重量函数的衰减趋于无穷大,获得了极限统计。提出了一项小型模拟研究。
We employ the empirical probability generating function in constructing a goodness-of-fit test for negative binomial distributions. The proposed tests, which are formed as weighted integrals, are shown to be consistent and their asymptotic null distribution is investigated. As the decay of the weight function tends to infinity, limit statistics are obtained. A small simulation study is presented.