Density Function of Weighted Sum of Chi-Square Variables with Trigonometric Weights
Vladislav Egorov, Boris Kryzhanovsky

TL;DR
This paper derives the exact density function and large-sample approximation for a weighted sum of chi-square variables with trigonometric weights, comparing it to Gaussian distribution.
Contribution
It provides a novel exact and approximate density function for a specific weighted chi-square distribution with trigonometric weights.
Findings
Exact density function derived for the distribution.
Large N approximation of the density function.
Comparison with Gaussian distribution highlights differences.
Abstract
We have investigated a weighted chi-square distribution of the variable which is a weighted sum of squared normally distributed independent variables whose weights are cosines of angles , where and is the number of the freedom degrees. We have found the exact expression for the density function of this distribution and its approximation for large . The distribution is compared with the Gaussian distribution.
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