Nonparametric bootstrap of sample means of positive-definite matrices with an application to diffusion-tensor-imaging data analysis-Reference-Cited by-同舟云学术

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Nonparametric bootstrap of sample means of positive-definite matrices with an application to diffusion-tensor-imaging data analysis

Published:2017-02-03 Issue:6 Volume:46 Page:4851-4879
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Ellingson Leif¹,Groisser David²,Osborne Daniel³,Patrangenaru Vic⁴,Schwartzman Armin⁵

Affiliation:

1. Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX, USA

2. Department of Mathematics, University of Florida, Gainesville, FL, USA

3. Department of Mathematics, Florida Agricultural and Mechanical University, Tallahassee, FL, USA

4. Department of Statistics, Florida State University, Tallahasee, FL, USA

5. Department of Statistics, North Carolina State University, Raleigh, NC, USA

Publisher

Informa UK Limited

Subject

Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2015.1136413

Reference48 articles.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robustness of lognormal confidence regions for means of symmetric positive definite matrices when applied to mixtures of lognormal distributions;METRON;2022-05-26

2. Functional inference on rotational curves under sample‐specific group actions and identification of human gait;Scandinavian Journal of Statistics;2020-10-09

3. Advances in computational and statistical diffusion MRI;NMR in Biomedicine;2017-11-14

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