Scan statistics for detecting a local change in variance for normal data with unknown population variance

DOI10.1016/j.spl.2015.12.020zbMath1419.62215OpenAlexW2198116110MaRDI QIDQ273713

Bo Zhao, Joseph Glaz

Publication date: 22 April 2016

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2015.12.020

zbMATH Keywords

bootstrap testgeneralized likelihood ratio testminimum P-value statisticmoving sum of squaresmultiple window scanvariable window scan

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Bootstrap, jackknife and other resampling methods (62F40) Non-Markovian processes: hypothesis testing (62M07)

Related Items (1)

Using scan statistics for cluster detection: recognizing real bandwagons

Uses Software

• bootlib

Cites Work

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• A multiple window scan statistic for time series models
• Estimating the distribution of one-dimensional discrete scan statistics viewed as extremes of 1-dependent stationary sequences
• Scan statistics. Methods and applications. In honor of Joseph Naus's seventieth birthday
• Scan statistics and applications
• A new method for estimating the distribution of scan statistics for a two-dimensional Poisson process
• Approximations and inequalities for moving sums
• Scan statistics for monitoring data modeled by a negative binomial distribution
• Variable Window Scan Statistics for Normal Data
• Multiple Window Discrete Scan Statistics
• An Extension of the MOSUM Technique for Quality Control
• The Use of MOSUMS for Quality Control
• A spatial scan statistic
• Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance
• Scan statistics

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