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Tracking opinion over time: a method for reducing sampling error.

Across a wide range of applications, the Kalman filtering and smoothing algorithm provides survey researchers with a single, systematic technique by which to generate four kinds of useful information. First, it enables survey analysts to differentiate between random sampling error and true opinion...

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Publicado en:Public Opinion Quarterly Vol. 63; no. 2; pp. 178 - 193
Autores principales: Green, Donald P., Gerber, Alan S., De Boef, Suzanna
Formato: Artículo
Publicado: Oxford University Press / UK Summer 1999
Materias:
Statistical sampling
Error analysis in mathematics
Kalman filtering
Statistical smoothing
Social surveys > Methodology
Public opinion polls
United States
Acceso en línea:Ver este registro en EBSCOhost