Please use this identifier to cite or link to this item:
https://er.nau.edu.ua/handle/NAU/36785
Title: | Functional moments estimators analysis by the Monte-Carlo method for model of mixture with varying concentrations |
Authors: | Kubaychuk, O |
Keywords: | Monte-Carlo method; mixture with varying concentrations; linear estimator; adaptive estimator; improved estimator |
Issue Date: | 2018 |
Publisher: | Journal of Advances in Mathematics (JAM). |
Citation: | Journal of Advances in Mathematics (JAM). Vol. 14, Num. 1, - 2018, P. 7439 – 7444 |
Abstract: | The functional moments estimation by the sample from the mixture with varying concentrations is studied. The problem of efficiency the simple linear estimator with fixed weight against the adaptive or improved estimators with random weight is considered. By the Monte-Carlo method it is shown that simple linear estimator is better for small sample sizes, but for large samples the adaptive and improved estimators are more efficient. |
URI: | http://er.nau.edu.ua/handle/NAU/36785 |
Appears in Collections: | Наукові роботи співробітників кафедри прикладної математики |
Files in This Item:
File | Description | Size | Format | |
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___JAM_14_1_2018.pdf | 628.99 kB | Adobe PDF | View/Open |
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