Multivariate nonparametric methods in two-way balanced designs: performances and limitations in small samples-Reference-Cited by-同舟云学术

Multivariate nonparametric methods in two-way balanced designs: performances and limitations in small samples

Published:2021-04-20 Issue: Volume: Page:1-28
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Ronchi Fabrizio¹,Harrar Solomon W.²,Salmaso Luigi¹

Affiliation:

1. Department of Management and Engineering, University of Padova, Vicenza, Italy

2. Department of Statistics, University of Kentucky, Lexington, KY, USA

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2021.1915256

Reference25 articles.

1. T. Anderson, An Introduction to Multivariate Statistical Analysis (Wiley Series in Probability and Statistics), John Wiley & Sons, Hoboken, NJ, 2003.

2. Multivariate small sample tests for two-way designs with applications to industrial statistics

3. A.C. Bathke and S.W. Harrar, Rank-based inference for multivariate data in factorial designs, in Robust Rank-Based and Nonparametric Methods, Springer, Cham, CH, 2016, pp. 121–139.

4. The multivariate nonparametric Behrens–Fisher problem

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