An extension of the multivariate Chebyshev's inequality to a random vector with a singular covariance matrix-Reference-Cited by-同舟云学术

An extension of the multivariate Chebyshev's inequality to a random vector with a singular covariance matrix

Published:2016-07-05 Issue:17 Volume:45 Page:5220-5223
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Budny Katarzyna¹

Affiliation:

1. Department of Mathematics, Cracow University of Economics, Cracow, Poland

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2014.941499

Reference13 articles.

1. A generalization of Chebyshev’s inequality for Hilbert-space-valued random elements

2. Chen, X. (2007). A new generalization of Chebyshev inequality for random vectors. arXiv:0707.0805vl [math.ST], 5 Jul 2007. The second version: Chen, X. (2011). A new generalization of Chebyshev inequality for random vectors. arXiv:0707.0805v2, 24 Jun 2011.

3. Continuous Multivariate Distributions

4. INEQUALITIES FOR MULTIVARIATE FREQUENCY DISTRIBUTIONS

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