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Communications in Statistics - Simulation and Computation Volume 46, 2017 - Issue 10
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Original Articles

Bootstrap methods for multivariate hypothesis testing

Łukasz SmagaFaculty of Mathematics and Computer Science, Adam Mickiewicz University, Umultowska, Poznań, PolandCorrespondence[email protected]
Pages 7654-7667 | Received 04 May 2016, Accepted 03 Oct 2016, Published online: 11 May 2017

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Kosman W. G. D. H. Rajapaksha & David J. Olive. (2022) Wald type tests with the wrong dispersion matrix. Communications in Statistics - Theory and Methods 0:0, pages 1-16.
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Łukasz Smaga & Jin-Ting Zhang. (2019) Linear Hypothesis Testing With Functional Data. Technometrics 61:1, pages 99-110.
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Articles from other publishers (9)

Eneko Lopez, Jaione Etxebarria-Elezgarai, Jose Manuel Amigo & Andreas Seifert. (2023) The importance of choosing a proper validation strategy in predictive models. A tutorial with real examples. Analytica Chimica Acta 1275, pages 341532.
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Lena Schmid, Alexander Gerharz, Andreas Groll & Markus Pauly. (2023) Tree-based ensembles for multi-output regression: Comparing multivariate approaches with separate univariate ones. Computational Statistics & Data Analysis 179, pages 107628.
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D T Muhamediyeva. (2022) Building and training a fuzzy neural model of data mining tasks. Journal of Physics: Conference Series 2182:1, pages 012024.
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Lubna Amro, Markus Pauly & Burim Ramosaj. (2021) Asymptotic‐based bootstrap approach for matched pairs with missingness in a single arm. Biometrical Journal 63:7, pages 1389-1405.
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Xiuhong Hao, Shuqiang Wang, Panqiang Huo & Deng Pan. (2021) Life prediction of heavy-load self-lubricating liners. Advances in Mechanical Engineering 13:2, pages 168781402199215.
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Łukasz Smaga. 2020. Advanced Studies in Classification and Data Science. Advanced Studies in Classification and Data Science 241 254 .
Burim Ramosaj & Markus Pauly. (2019) Predicting missing values: a comparative study on non-parametric approaches for imputation. Computational Statistics 34:4, pages 1741-1764.
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Alexey S. Katasev. (2019) Neuro-fuzzy model of fuzzy rules formation for objects state evaluation in conditions of uncertainty. Computer Research and Modeling 11:3, pages 477-492.
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Sarah Friedrich & Markus Pauly. (2018) MATS: Inference for potentially singular and heteroscedastic MANOVA. Journal of Multivariate Analysis 165, pages 166-179.
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