An Analog of the Chi-Square Distribution for Normalized Sums with Small Number of Summands
- 作者: Radionova M.V.1, Sapozhnikov P.N.2
-
隶属关系:
- National Research University Higher School of Economics
- Perm State National Research University
- 期: 卷 220, 编号 6 (2017)
- 页面: 724-733
- 栏目: Article
- URL: https://ogarev-online.ru/1072-3374/article/view/238928
- DOI: https://doi.org/10.1007/s10958-016-3216-0
- ID: 238928
如何引用文章
详细
In the present paper we obtain approximations to the distribution of a sum of squared normalized variables with small number of summands, and provide an estimate of approximation accuracy. We compare confidence intervals for the unknown parameter σ constructed with the use of the obtained approximations when α1 is known, with the intervals constructed with the use of the classical chi-square distribution under the assumption of normality of normalized sums.
作者简介
M. Radionova
National Research University Higher School of Economics
编辑信件的主要联系方式.
Email: m.radionova@rambler.ru
俄罗斯联邦, Perm
P. Sapozhnikov
Perm State National Research University
Email: m.radionova@rambler.ru
俄罗斯联邦, Perm
补充文件
