Scan statistics for detecting high-variance clusters

DOI10.1155/2016/7591680zbMath1426.62182OpenAlexW2226891946WikidataQ59129366 ScholiaQ59129366MaRDI QIDQ1657991

Lionel Cucala

Publication date: 14 August 2018

Published in: Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/7591680

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Cites Work

• Unnamed Item
• A Simple Test for Heteroscedasticity and Random Coefficient Variation
• A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
• Spatial scan statistics adjusted for multiple clusters
• Accounting for spatial correlation in the scan statistic
• A Mann–Whitney scan statistic for continuous data
• Multiple Spatio-Temporal Cluster Detection for Case Event Data: An Ordering-Based Approach
• Modified Randomization Tests for Nonparametric Hypotheses
• On some properties of the scan statistic on the circle and the line
• A spatial scan statistic
• A Hypothesis‐Free Multiple Scan Statistic with Variable Window
• Scan statistics

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