Princeton University Library Catalog

Latent class analysis of survey error / Paul P. Biemer.

Author:
Biemer, Paul P. [Browse]
Format:
Book
Language:
English
Published/​Created:
Hoboken, N.J. : Wiley, c2011.
Description:
xix, 387 p. : ill. ; 25 cm.
Series:
Wiley series in survey methodology. [More in this series]
Summary note:
  • "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"--Provided by publisher.
  • "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"--Provided by publisher.
Bibliographic references:
Includes bibliographical references and index.
Subject(s):
ISBN:
  • 9780470289075 (hardback)
  • 0470289074 (hardback)
LCCN:
2010040979
OCLC:
639164022
RCP:
C - S