Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté. Image fixe : sans médiation
Auteur(s) : Biemer, Paul P.
Titre(s) : Latent class analysis of survey error [Texte imprimé] / Paul P. Biemer
Publication : Hoboken (N.J.) : Wiley, cop. 2011
Description matérielle : 1 vol. (XIX-387 p.) : ill. ; 25 cm
Collection : Wiley series in survey methodology
Lien à la collection : Wiley series in survey methodology
Note(s) : Bibliogr. p. 353-368
"This book concerns the error in data collected using sample surveys, the nature and
magnitudes of the errors, their effects on survey estimates, how to model and estimate
the errors using a variety of modeling methods, and, finally, how to interpret the
estimates and make use of the results in reducing the error for future surveys. The
book focuses on models that are appropriate for categorical data, although there are
references to the differences and special problems that arise in the analysis and
modeling of error for continuous data. Though the primary modeling method that is
described is latent class analysis (LCA), a wide range of related models and applications
are also discussed"-- ; "This book concerns the error in data collected using sample
surveys, the nature and magnitudes of the errors, their effects on survey estimates,
how to model and estimate the errors using a variety of modeling methods, and, finally,
how to interpret the estimates and make use of the results in reducing the error for
future surveys"--
Sujet(s) : Calcul d'erreur
Échantillonnage (statistique)
Estimation, Théorie de l'
Indice(s) Dewey :
511.43 (23e éd.) = Approximations et développements (mathématiques) - Théorie des erreurs
Identifiants, prix et caractéristiques : ISBN 9780470289075. - ISBN 0470289074 (rel.). - ISBN 9780470891155. - ISBN 0470891157
(eBook). - ISBN 9780470891148 (ePDF)
Identifiant de la notice : ark:/12148/cb42596104k
Notice n° :
FRBNF42596104
(notice reprise d'un réservoir extérieur)
