An improved approximation method for the expected value and standard deviation of extreme order statistics of Gaussian samples

Тип публикации: Journal Article
Дата публикации: 2025-04-27
Taylor & Francis
scimago Q2
wos Q3
БС2
SJR: 0.430
CiteScore: 2.7
Impact factor: 0.8
ISSN: 03610918, 15324141
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Yang J., Huang L. An improved approximation method for the expected value and standard deviation of extreme order statistics of Gaussian samples // Communications in Statistics Part B: Simulation and Computation. 2025. pp. 1-14.
ГОСТ со всеми авторами (до 50) Скопировать
Yang J., Huang L. An improved approximation method for the expected value and standard deviation of extreme order statistics of Gaussian samples // Communications in Statistics Part B: Simulation and Computation. 2025. pp. 1-14.
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TY - JOUR
DO - 10.1080/03610918.2025.2496310
UR - https://www.tandfonline.com/doi/full/10.1080/03610918.2025.2496310
TI - An improved approximation method for the expected value and standard deviation of extreme order statistics of Gaussian samples
T2 - Communications in Statistics Part B: Simulation and Computation
AU - Yang, Junxing
AU - Huang, Lei
PY - 2025
DA - 2025/04/27
PB - Taylor & Francis
SP - 1-14
SN - 0361-0918
SN - 1532-4141
ER -
BibTex
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@article{2025_Yang,
author = {Junxing Yang and Lei Huang},
title = {An improved approximation method for the expected value and standard deviation of extreme order statistics of Gaussian samples},
journal = {Communications in Statistics Part B: Simulation and Computation},
year = {2025},
publisher = {Taylor & Francis},
month = {apr},
url = {https://www.tandfonline.com/doi/full/10.1080/03610918.2025.2496310},
pages = {1--14},
doi = {10.1080/03610918.2025.2496310}
}