Donsker's Theorem for Discretized Data
In the Kolmogorov-Smirnov theorem, the underlying distribution is assumed to be a continuous distribution. On the other hand, real data in practice is always given in a discretized (rounded) form. In this paper we establish a Donsker type theorem in the fashion of the modern empirical process theory...
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Veröffentlicht in: | JOURNAL OF THE JAPAN STATISTICAL SOCIETY 2009/02/24, Vol.38(3), pp.505-515 |
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Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | In the Kolmogorov-Smirnov theorem, the underlying distribution is assumed to be a continuous distribution. On the other hand, real data in practice is always given in a discretized (rounded) form. In this paper we establish a Donsker type theorem in the fashion of the modern empirical process theory to obtain a (right) Kolmogorov-Smirnov test for discretized data. |
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ISSN: | 1882-2754 1348-6365 |
DOI: | 10.14490/jjss.38.505 |