An Analog of the Chi-Square Distribution for Normalized Sums with Small Number of Summands
- Authors: Radionova M.V.1, Sapozhnikov P.N.2
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Affiliations:
- National Research University Higher School of Economics
- Perm State National Research University
- Issue: Vol 220, No 6 (2017)
- Pages: 724-733
- Section: Article
- URL: https://journal-vniispk.ru/1072-3374/article/view/238928
- DOI: https://doi.org/10.1007/s10958-016-3216-0
- ID: 238928
Cite item
Abstract
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.
About the authors
M. V. Radionova
National Research University Higher School of Economics
Author for correspondence.
Email: m.radionova@rambler.ru
Russian Federation, Perm
P. N. Sapozhnikov
Perm State National Research University
Email: m.radionova@rambler.ru
Russian Federation, Perm
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