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Diagnostic check for monotone spread

A. McLeod. Computational Statistics & Data Analysis, 26 (4): 437--443 (06.02.1998)

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Mean likelihood estimators.A. McLeod, и B. Quenneville. Stat. Comput., 11 (1): 57-65 (2001)On Learning Contrastive Representations for Learning with Noisy Labels.L. Yi, S. Liu, Q. She, A. McLeod, и B. Wang. CVPR, стр. 16661-16670. IEEE, (2022)Forecasting annual geophysical time seriesD. Noakes, K. Hipel, A. McLeod, C. Jimenez, и S. Yakowitz. International Journal of Forecasting, 4 (1): 103--115 (1988)Comparison of two modified portmanteau tests for model adequacyT. Kheoh, и A. McLeod. Computational Statistics & Data Analysis, 14 (1): 99--106 (июня 1992)When Source-Free Domain Adaptation Meets Learning with Noisy Labels.L. Yi, G. Xu, P. Xu, J. Li, R. Pu, C. Ling, A. McLeod, и B. Wang. ICLR, OpenReview.net, (2023)Forecasting monthly riverflow time seriesD. Noakes, A. McLeod, и K. Hipel. International Journal of Forecasting, 1 (2): 179--190 (1985)Improved Pena-Rodriguez portmanteau testJ. Lin, и A. McLeod. Computational Statistics & Data Analysis, 51 (3): 1731--1738 (01.12.2006)Diagnostic check for monotone spreadA. McLeod. Computational Statistics & Data Analysis, 26 (4): 437--443 (06.02.1998)Faster ARMA maximum likelihood estimation.A. McLeod, и Y. Zhang. Comput. Stat. Data Anal., 52 (4): 2166-2176 (2008)