John P Buonaccorsi: Measurement Error

Cover: 9781032477688 | Measurement Error | Models, Methods, and Applications | Buonaccorsi

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Sprache: Englisch

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Beschreibung

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

Über den Autor

John P. Buonaccorsi is a professor in the Department of Mathematics and Statistics at the University of Massachusetts, Amherst.

Inhaltsverzeichnis

Introduction. Misclassification in Estimating a Proportion. Misclassification in Two-Way Tables. Simple Linear Regression. Multiple Linear Regression. Measurement Error in Regression: A General Overview. Binary Regression. Linear Models with Nonadditive Error. Nonlinear Regression. Error in the Response. Mixed/Longitudinal Models. Time Series. Background Material. References. Indices.

Details

Erscheinungsjahr:	2023
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Importe , Mathematik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
ISBN-13:	9781032477688
ISBN-10:	1032477687
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Buonaccorsi, John P
Hersteller:	CRC Press
Verantwortliche Person für die EU:	Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße:	25 x 156 x 234 mm
Von/Mit:	John P Buonaccorsi
Erscheinungsdatum:	21.01.2023
Gewicht:	0,701 kg