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DC Field | Value | Language |
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dc.contributor.author | Кубайчук, Оксана Олексіївна | uk_UA |
dc.contributor.author | Майборода, Р.Є | - |
dc.date.accessioned | 2018-02-13T10:24:13Z | - |
dc.date.available | 2018-02-13T10:24:13Z | - |
dc.date.issued | 2004 | - |
dc.identifier.citation | Kubaychuk O., Majboroda R. Asymptotic normality of improved weighted empirical distribution functions// Theory Probab. Math. Stat. – 2004. № 69, Р. 95–102. | en |
dc.identifier.uri | http://er.nau.edu.ua/handle/NAU/32565 | - |
dc.description.abstract | Weighted empirical distribution functions are often used to estimate the distributions of components in a mixture. However, weighted empirical distribution functions do not possess some properties of probability distribution functions in the case of negative weight coefficients. We consider a method allowing one to improve weighted empirical distribution functions and obtain an estimator that is a distribution function. We prove that this estimator is asymptotically normal. The limit distribution of the improved weighted empirical distribution function coincides with that of the initial estimator. | en |
dc.language.iso | en | en |
dc.publisher | Theory Probab. Math. Stat | en |
dc.subject | Weighted empirical distribution functions | en |
dc.title | Asymptotic normality of improved weighted empirical distribution functions | en |
dc.type | Article | en |
dc.subject.udc | 519.21 | - |
Appears in Collections: | Наукові роботи співробітників кафедри прикладної математики |
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File | Description | Size | Format | |
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1_2004.pdf | 155.18 kB | Adobe PDF | View/Open |
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