An Analog of the Chi-Square Distribution for Normalized Sums with Small Number of Summands


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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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