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On the maximum of random assignment process. / Lifshits, M. A.; Tadevosian, A. A.

в: Statistics and Probability Letters, Том 187, 01.08.2022.

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Harvard

Lifshits, MA & Tadevosian, AA 2022, 'On the maximum of random assignment process', Statistics and Probability Letters, Том. 187. https://doi.org/10.1016/j.spl.2022.109530

APA

Lifshits, M. A., & Tadevosian, A. A. (2022). On the maximum of random assignment process. Statistics and Probability Letters, 187. https://doi.org/10.1016/j.spl.2022.109530

Vancouver

Lifshits MA, Tadevosian AA. On the maximum of random assignment process. Statistics and Probability Letters. 2022 Авг. 1;187. https://doi.org/10.1016/j.spl.2022.109530

Author

Lifshits, M. A. ; Tadevosian, A. A. / On the maximum of random assignment process. в: Statistics and Probability Letters. 2022 ; Том 187.

BibTeX

@article{8e2fcbd99ed94810b1a83cf9f288eee5,
title = "On the maximum of random assignment process",
abstract = "We describe the behavior of the maximum's expectation for the random assignment process associated to a large square matrix with i.i.d. entries. Under mild assumptions on the underlying distribution, the answer is expressed in terms of its quantile function.",
keywords = "Assignment problem, Random assignment",
author = "Lifshits, {M. A.} and Tadevosian, {A. A.}",
year = "2022",
month = aug,
day = "1",
doi = "10.1016/j.spl.2022.109530",
language = "English",
volume = "187",
journal = "Statistics and Probability Letters",
issn = "0167-7152",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - On the maximum of random assignment process

AU - Lifshits, M. A.

AU - Tadevosian, A. A.

PY - 2022/8/1

Y1 - 2022/8/1

N2 - We describe the behavior of the maximum's expectation for the random assignment process associated to a large square matrix with i.i.d. entries. Under mild assumptions on the underlying distribution, the answer is expressed in terms of its quantile function.

AB - We describe the behavior of the maximum's expectation for the random assignment process associated to a large square matrix with i.i.d. entries. Under mild assumptions on the underlying distribution, the answer is expressed in terms of its quantile function.

KW - Assignment problem

KW - Random assignment

UR - http://www.scopus.com/inward/record.url?scp=85130114048&partnerID=8YFLogxK

U2 - 10.1016/j.spl.2022.109530

DO - 10.1016/j.spl.2022.109530

M3 - Article

AN - SCOPUS:85130114048

VL - 187

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

SN - 0167-7152

ER -

ID: 101743153