Outlier Identification Procedures for Contingency Tables using Maximum Likelihood and "L"

Observed cell counts in contingency tables are perceived as outliers if they have low probability under an anticipated loglinear Poisson model. New procedures for the identification of such outliers are derived using the classical maximum likelihood estimator and an estimator based on the "L"<sub>1</sub> norm. Copyright 2004 Board of the Foundation of the Scandinavian Journal of Statistics..

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Year of publication:	2004
Authors:	Kuhnt, Sonja
Published in:	Scandinavian Journal of Statistics. - Danish Society for Theoretical Statistics, ISSN 0303-6898. - Vol. 31.2004, 3, p. 431-442
Publisher:	Danish Society for Theoretical Statistics Finnish Statistical Society Norwegian Statistical Association Swedish Statistical Association

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005285162