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JOURNALS // Teoriya Veroyatnostei i ee Primeneniya // Archive

Teor. Veroyatnost. i Primenen., 2023 Volume 68, Issue 1, Pages 4–20 (Mi tvp5282)

On the bounds for the expected maxima of random samples with known expected maxima of two samples of smaller size

D. V. Ivanov

Lomonosov Moscow State University, Faculty of Mechanics and Mathematics

Abstract: Our aim in the present paper is to give a new representation of the previously known estimates and further investigate upper and lower bounds for expected maxima of $n$ independent and identically distributed (i.i.d.) standardized random variables (r.v.'s) from known expected maxima of $m$ and $p$ r.v.'s with the same distribution, where $1<m<p<n$. A new representation is obtained from expansion of the inverse distribution function in a system of orthonormal functions on the unit interval. A criterion for attainability of the resulting bounds is put forward. We also obtain asymptotic properties of normed bounds for maxima expectations and normed maxima of r.v.'s with distribution where a criterion for attainability of these bound holds.

Keywords: expected maxima, orthogonal expansion.

Received: 17.12.2018
Revised: 11.07.2022
Accepted: 08.09.2022

DOI: 10.4213/tvp5282


 English version:
Theory of Probability and its Applications, 2023, 68:1, 2–15

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© Steklov Math. Inst. of RAS, 2026