Review Articles

Generalised variance functions for longitudinal survey data

Guoyi Zhang ,

Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM, USA

Yang Cheng ,

Substance Abuse and Mental Health Administration, Rockville, MD, USA

Yan Lu

Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM, USA

yanlu@unm.edu

Pages 150-157 | Received 02 Nov. 2018, Accepted 03 Sep. 2019, Published online: 13 Sep. 2019,
  • Abstract
  • Full Article
  • References
  • Citations

ABSTRACT

In this research, we propose longitudinal generalised variance functions (LGVFs) to produce convenient estimates of variances by incorporating time effect into modelling. Asymptotic properties of some certain type of estimators are investigated. Simulation studies and implementation of the proposed methods to Current Population Survey (CPS) data show that LGVFs work well in producing standard error estimates.

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