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On the Theoretically Achievable Accuracy of a Selective Assessment of Grain Qualityстатья
- Авторы: Minkin Y.I., Panchenko A.V., Konovalenko I.A., Polevoy D.V.
- Журнал: International Journal of Applied Engineering Research
- Том: 12
- Номер: 23
- Год издания: 2017
- Первая страница: 13802
- Последняя страница: 13806
- Номер статьи: 18
- Аннотация: This article provides the analysis of the statistical properties of a random grain quality assessment for the best case. In addition, the distribution of the true unknown grain quality value is derived under the condition of a fixed sample and its main characteristics. The work is designed to select a sample size that can theoretically provide the required quality of the assessment, as well as to set algorithms for assessing grain quality and comparing their experimentally measured quality of work with theoretically the maximum achievable performance.
- Добавил в систему: Коноваленко Иван Андреевич