Geodesic
On the rate of convergence of linear combinations of absolute order statistics to the normal law
Teoriâ veroâtnostej i ee primeneniâ, Tome 20 (1975) no. 1, pp. 207-215 Cet article a éte moissonné depuis la source Math-Net.Ru

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Let $\{X_j\}$ ($j=1,2,\dots,n$) be a sequence of symmetric independent identically distributed random variables and $\{X_{j,n}\}$ ($j=1,2,\dots,n$) be the corresponding absolute order statistics, i.e. $|X_{1,n}|\le|X_{2,n}|\le\dots\le|X_{n,n}|$. Some results are obtained for the rate of convergence of linear combinations of the random variables $X_{j,n}$ to the normal law. 
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     author = {V. A. Egorov and V. B. Nevzorov},
     title = {On the rate of convergence of linear combinations of absolute order statistics to the normal law},
     journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
     pages = {207--215},
     year = {1975},
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     number = {1},
     language = {ru},
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V. A. Egorov; V. B. Nevzorov. On the rate of convergence of linear combinations of absolute order statistics to the normal law. Teoriâ veroâtnostej i ee primeneniâ, Tome 20 (1975) no. 1, pp. 207-215. http://geodesic.mathdoc.fr/item/TVP_1975_20_1_a25/