Scan statistics for detecting a local change in variance for two-dimensional normal data

DOI10.1080/03610926.2015.1104354zbMath1371.60070OpenAlexW2409586080MaRDI QIDQ5349098

Bo Zhao, Joseph Glaz

Publication date: 23 August 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2015.1104354

zbMATH Keywords

nonparametric bootstrapscan statisticsgeneralized likelihood ratio testminimum \(P\)-value statistic

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Parametric hypothesis testing (62F03) Signal detection and filtering (aspects of stochastic processes) (60G35) Approximations to statistical distributions (nonasymptotic) (62E17)

Related Items (2)

Duality between the local score of one sequence and constrained hidden Markov model ⋮ Frequency domain bootstrap methods for random fields

This page was built for publication: Scan statistics for detecting a local change in variance for two-dimensional normal data