JOS

Abstract
Journal of Official Statistics, Vol.19, No.1, 2003. pp. 1730

Contents
Current Issue
Personal Reference Library (PRL)
Personal Page
Archive
Search
Home


Confidence Interval Coverage Properties for Regression Estimators in Uni-Phase and Two-Phase Sampling

Abstract:
Confidence intervals based on the normal approximation are widely used in the design-based approach. Hansen, Madow and Tepping (1983) noted that design-based intervals are inferentially satisfactory despite failures of assumed models. Dorfman (1994) studied confidence interval coverage associated with the sample linear regression estimator under two-phase random sampling using standard and new variance estimators, and concluded that the contention of Hansen et al. is not tenable. In this article we provide reasons for the poor performance under model failures and practical solutions to improve the coverage probability.

Copyright Statistics Sweden 1996-2018.  Open Access
ISSN 0282-423X
Created and Maintained by OKS Group