Parametric and Nonparametric Identification of the Distribution Law from Interval Data
- 作者: Vozhov S.1, Chimitova E.1
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隶属关系:
- Novosibirsk State Technical University
- 期: 卷 61, 编号 3 (2018)
- 页面: 216-222
- 栏目: Article
- URL: https://journals.rcsi.science/0543-1972/article/view/246418
- DOI: https://doi.org/10.1007/s11018-018-1412-7
- ID: 246418
如何引用文章
详细
The properties of nonparametric estimation of the distribution function and estimations of the maximal likelihood of the parameters of distributions from interval data are considered. Samples of interval observations are required when the true value of an observation is not known, and only the interval this value belongs to is known. An investigation of the statistical properties of estimates of the distribution function and its parameters from interval data is performed by methods of statistical simulation and compared to estimates obtained from point samples of the midpoints of the observation intervals.
作者简介
S. Vozhov
Novosibirsk State Technical University
Email: chimitova@corp.nstu.ru
俄罗斯联邦, Novosibirsk
E. Chimitova
Novosibirsk State Technical University
编辑信件的主要联系方式.
Email: chimitova@corp.nstu.ru
俄罗斯联邦, Novosibirsk