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Huang, Xifen, Liu, Binghui, Zhou, Qin, Feng, Long (2023) A high‐dimensional inverse norm sign test for two‐sample location problems. Canadian Journal of Statistics, 51 (4) 1004-1033 doi:10.1002/cjs.11731

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Reference TypeJournal (article/letter/editorial)
TitleA high‐dimensional inverse norm sign test for two‐sample location problems
JournalCanadian Journal of Statistics
AuthorsHuang, XifenAuthor
Liu, BinghuiAuthor
Zhou, QinAuthor
Feng, LongAuthor
Year2023 (December)Volume51
Issue4
PublisherWiley
DOIdoi:10.1002/cjs.11731Search in ResearchGate
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Mindat Ref. ID16948239Long-form Identifiermindat:1:5:16948239:0
GUID0
Full ReferenceHuang, Xifen, Liu, Binghui, Zhou, Qin, Feng, Long (2023) A high‐dimensional inverse norm sign test for two‐sample location problems. Canadian Journal of Statistics, 51 (4) 1004-1033 doi:10.1002/cjs.11731
Plain TextHuang, Xifen, Liu, Binghui, Zhou, Qin, Feng, Long (2023) A high‐dimensional inverse norm sign test for two‐sample location problems. Canadian Journal of Statistics, 51 (4) 1004-1033 doi:10.1002/cjs.11731
In(2023, December) Canadian Journal of Statistics Vol. 51 (4) Wiley

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Feng, Long, Zou, Changliang, Wang, Zhaojun (2016) Multivariate-Sign-Based High-Dimensional Tests for the Two-Sample Location Problem. Journal of the American Statistical Association, 111 (514). 721-735 doi:10.1080/01621459.2015.1035380
Cao, Ricardo, Van Keilegom, Ingrid (2006) Empirical likelihood tests for two-sample problems via nonparametric density estimation. Canadian Journal of Statistics, 34. 61-77 doi:10.1002/cjs.5550340106
McCullagh, Peter (2023) A tale of two variances. Canadian Journal of Statistics, 51 (3) 769-779 doi:10.1002/cjs.11758
(2023) Issue Information. Canadian Journal of Statistics, 51 (1) 1-4 doi:10.1002/cjs.11712
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