Accounting for Complex Sampling in Survey Estimation: A Review of Current Software Tools-Reference-Cited by-同舟云学术

Accounting for Complex Sampling in Survey Estimation: A Review of Current Software Tools

Published:2018-09-01 Issue:3 Volume:34 Page:721-752
ISSN:2001-7367
Container-title:Journal of Official Statistics
language:en
Short-container-title:

Author:

West Brady T.¹,Sakshaug Joseph W.²,Aurelien Guy Alain S.³

Affiliation:

1. Survey Research Center , University of Michigan-Ann Arbor , 4118 Institute for Social Research, 426 Thompson Street, Ann Arbor, MI , 48106 , U.S.A.

2. Institute for Employment Research , Regensburger Strasse 104, Nuremberg , 90478 , Germany .

3. Walter R. McDonald & Associates , 12300 Twinbrook Pkwy, Suite 310, Rockville , MD 20852 , U.S.A.

Abstract

Abstract In this article, we review current state-of-the art software enabling statisticians to apply design-based, model-based, and so-called “hybrid” approaches to the analysis of complex sample survey data. We present brief overviews of the similarities and differences between these alternative approaches, and then focus on software tools that are presently available for implementing each approach. We conclude with a summary of directions for future software development in this area.

Publisher

Walter de Gruyter GmbH

Link

https://www.sciendo.com/pdf/10.2478/jos-2018-0034

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