A new derivation of eigenvalue inequalities for the multinomial distribution

DOI10.1016/j.jmaa.2012.03.029zbMath1308.60020OpenAlexW1981466805MaRDI QIDQ432430

Jacques Bénasséni

Publication date: 4 July 2012

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmaa.2012.03.029

zbMATH Keywords

inequalitieseigenvaluecovariance matrixmultinomial distribution

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Inequalities; stochastic orderings (60E15) Probability distributions: general theory (60E05)

Related Items (2)

Bootstrapping max statistics in high dimensions: near-parametric rates under weak variance decay and application to functional and multinomial data ⋮ Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise

Cites Work

• Mathematical properties of the variance of the multinomial distribution
• Testing for the Supremacy of a Multinomial Cell Probability
• Confidence Regions for the Multinomial Parameter With Small Sample Size
• Some inequalities on characteristic roots of matrices
• Unnamed Item
• Unnamed Item

This page was built for publication: A new derivation of eigenvalue inequalities for the multinomial distribution