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Measurement Error

Measurement Error

Models, Methods, and Applications

Inhalt

This work describes the impacts of measurement errors on naive analyses that ignore them and presents ways to correct for them across a variety of statistical models, from simple one-sample problems and misclassification in categorical models to regression models to more complex mixed and time series models. It covers correction methods based on

Bibliografische Angaben

Januar 2023, 464 Seiten, Chapman & Hall/CRC Interdisciplinary Statistics, Englisch
Taylor and Francis
978-1-03-247768-8

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Weitere Titel der Reihe: Chapman & Hall/CRC Interdisciplinary Statistics

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