The central limit theorem under the absence of extremal absolute order statistics
Zapiski Nauchnykh Seminarov POMI, Problems of the theory of probability distributions. Part IX, Tome 142 (1985), pp. 59-67

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One finds conditions for the relation $\Delta_{n,r}=o(1)=\nabla_{n,r}$, где $\Delta_{n,r}=\sup_x|P\Big(\frac{S_{n,r}}{a_n}$, $S_{n,r}=X_{(1)}+\dots+X_{(n-r)}$, $X_{(1)},\dots,X_{(n)}$ are the absolute order statistics for a repeated sample from a symmetric distribution.
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     author = {V. A. Egorov},
     title = {The central limit theorem under the absence of extremal absolute order statistics},
     journal = {Zapiski Nauchnykh Seminarov POMI},
     pages = {59--67},
     publisher = {mathdoc},
     volume = {142},
     year = {1985},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ZNSL_1985_142_a5/}
}
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V. A. Egorov. The central limit theorem under the absence of extremal absolute order statistics. Zapiski Nauchnykh Seminarov POMI, Problems of the theory of probability distributions. Part IX, Tome 142 (1985), pp. 59-67. http://geodesic.mathdoc.fr/item/ZNSL_1985_142_a5/