Abstract
Let $V_n$ be the standardized sum of squares of the means of $r + 1$ random samples of sizes $s_0, s_1, \cdots, s_r$, where $n = s_0 + s_1 + \cdots + s_r$, taken without replacement from $n$ numbers. Then using an approximation to the characteristic function of the means, an asymptotic expansion is obtained for the distribution of $V_n$ with first term being the distribution function of $\chi^2_r$ and with error of approximation generally of smaller order than $1/n$. When the numbers are the first $n$ integers, $V$ is the Kruskal-Wallis statistic and the approximation is compared with the exact distribution in some examples of this special case.
Citation
J. Robinson. "An Asymptotic Expansion for Permutation Tests with Several Samples." Ann. Statist. 8 (4) 851 - 864, July, 1980. https://doi.org/10.1214/aos/1176345078
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