48 research outputs found
Review: MR3937784 (sent June 2019) Nasri, Bouchra R. et al., Semi-parametric copula-based models under non-stationarity. J. Multivariate Anal. 173 (2019)
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Review: MR4571877 Yamada, Takayuki; Himeno, Tetsuto; Tillander, Annika; Pavlenko, Tatjana, Test for mean matrix in GMANOVA model under heteroscedasticity and non-normality for high-dimensional data.
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Review: MR4571877 Bagkavos, Dimitrios, Patil, Prakash N. and Wood, Andrew T. A., Nonparametric goodness-of-fit testing for a continuous multivariate parametric model, J. Multivariate Anal. 196 (2023)
No full textReview: [MR3907270 Hyodo, Masashi, Onobuchi, Akihiro\ and Kurakami, Hiroyuki, An approximate multivariate asymptotic expansion-based test for population bioequivalence, J. Statist. Plann. Inference 200 (2019), 74--86]
No full textAnalyzing dependence structure of thyroid hormones: a copula approach
No full textAim: To model the level and structure of the dependence between thyroid hormones by using the copula approach
