English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Let $F_N$ and $F$ be the empirical and limiting spectral distributions of an$N\times N$ Wigner matrix. The Cram\'{e}r-von Mises (CvM) statistic is aclassical goodness-of-fit statistic that characterizes the distance between$F_N$ and $F$ in $\ell^2$-norm. In this paper, we consider a mesoscopicapproximation of the CvM statistic for Wigner matrices, and derive its limitingdistribution. In the appendix, we also give the limiting distribution of theCvM statistic (without approximation) for the toy model CUE.

On Cram\'{e}r-von Mises statistic for the spectral distribution of random matrices