Layman’s abstract for Canadian Journal of Statistics article on a Jackknife empirical likelihood approach for K-sample Tests

Each week, we publish layman’s abstracts of new articles from our prestigious portfolio of journals in statistics. The aim is to highlight the latest research to a broader audience in an accessible format.
The article featured today is from the Canadian Journal of Statistics, with the full article now available to read here.
Sang, Y., Dang, X. and Zhao, Y. (2021), A Jackknife empirical likelihood approach for K-sample Tests. Can J Statistics.
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