Using Extreme Value Theory Approaches to Estimate High Quantiles for Stroke Data

ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.net/journal/ojs
E-mail: [email protected]

Citations

"Using Extreme Value Theory Approaches to Estimate High Quantiles for Stroke Data"
written by Justin Ushize Rutikanga, Aliou Diop, Charline Uwilingiyimana,
published by Open Journal of Statistics, Vol.14 No.1, 2024

has been cited by the following article(s):

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[1]	The Development of a Risk Assessment Model for Inedible Rendering Plants in Canada: Identifying and Selecting Feed Safety-Related Factors Animals, 2024 DOI:10.3390/ani14071020