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デジタル記事
2016-12Bulletin of informatics and cybernetics48p.37-46
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  • 要約等In statistical inference, estimation of a density ratio takes important roll. The density ratio is a measure of difference of two populations, and then its estimator is vital. The ratio estimator is used for testing equality of two density functions, detecting change points, discriminant analysis etc. Under some parametric assumptions, there are many papers which study asymptotic properties of the ratio estimators. In this paper we will discuss a kernel type estimator of the ratio.
  • 標準番号(その他)https://hdl.handle.net/2324/2203026
  • 件名Asymptotic properties density ratio Edgeworth expansion kernel type estimator

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