Nonparametric maximum likelihood estimation of distribution functions when they cross
JOURNAL OF NONPARAMETRIC STATISTICS(2006)
摘要
Nonparametrie maximum likelihood estimation of two general distribution functions is studied when they cross once. The restriction of having a crossing point on two distribution functions turns out to be a dual problem of unimodal ordering. The isotonic regression procedure for unimodal ordering is employed to estimate two distribution functions under the restriction. The proposed estimator has strong consistency. A real data is analyzed for illustrative purpose.
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关键词
crossing point,Fenchel dual,isotonic regression,unimodal ordering
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