Measurement Error: Models, Methods, and Applications (Chapman & Hall/CRC Interdisciplinary Statistics) - Tapa dura

Libro 17 de 45: Chapman & Hall/CRC Interdisciplinary Statistics

Buonaccorsi, John P.

 
9781420066562: Measurement Error: Models, Methods, and Applications (Chapman & Hall/CRC Interdisciplinary Statistics)
Tapa dura
ISBN 10: 1420066560 ISBN 13: 9781420066562
Editorial: Chapman and Hall/CRC, 2010

Sinopsis

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 known measurement error parameters, replication, internal or external validation data, and instrumental variables. The author includes examples using real-world data from epidemiology, ecology, and other disciplines and employs SAS-IML and Stata to implement many of the techniques in the examples.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Chapman and Hall/CRC
Año de publicación
2010
Idioma
Inglés
ISBN 10 
1420066560
ISBN 13 
9781420066562
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
464
Editor
Morgan Byron J.T., Keiding Niels, Van Der Heijden Peter, Speed Terry
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

Friedensallee 273
Hamburg
22763
Alemania

Otras ediciones populares con el mismo título

9781032477688: Measurement Error: Models, Methods, and Applications (Chapman & Hall/CRC Interdisciplinary Statistics)

Edición Destacada

ISBN 10:  1032477687 ISBN 13:  9781032477688
Editorial: Chapman and Hall/CRC, 2023
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