Evaluation of Generalized Variance Functions in the Analysis of Complex Survey Data

Evaluation of Generalized Variance Functions in the Analysis of Complex Survey Data

Two sets of diagnostics are presented to evaluate the properties of generalized variance functions (GVFs) for a given sample survey. The first set uses test statistics for the coefficients of multiple regression forms of GVF models. The second set uses smoothed estimators of the mean squared error (...

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Bibliographic Details
Main Authors: Cho MoonJung, Eltinge John L., Gershunskaya Julie, Huff Larry
Format: Article
Language:English
Published: Sciendo 2014-03-01
Series:Journal of Official Statistics
Subjects:
complex sample design
degrees of freedom
design-based inference
model-based inference
quarterly census of employment and wages
superpopulation model
u.s. current employment statistics (ces) survey
variance estimator stability
Online Access:https://doi.org/10.2478/jos-2014-0004

Internet

https://doi.org/10.2478/jos-2014-0004

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