Interactive Linear Models in the Context of Two-Stage Sampling

DOI

10.2991/jsta.2017.16.4.4How to use a DOI?

Keywords

Finite population inference; Horvitz-Thompson estimator; Two-stage sampling design; SRSWOR; Investigator intervention; Supervisor intervention; Linear model; Variance components, Blinded submission; Unblinded submission

Abstract

We study an interactive linear model that incorporates investigator and/or supervisor interventions in the context of a two-stage sampling design. We obtain an unbiased estimator of the finite population total and derive an unbiased estimator of its variance. Our method builds on Sinha and Maiti (2014), which addressed a singlestage cluster sampling design.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Pulakesh Maiti
PY  - 2017
DA  - 2017/12/01
TI  - Interactive Linear Models in the Context of Two-Stage Sampling
JO  - Journal of Statistical Theory and Applications
SP  - 467
EP  - 475
VL  - 16
IS  - 4
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2017.16.4.4
DO  - 10.2991/jsta.2017.16.4.4
ID  - Maiti2017
ER  -