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• W2891939571 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." @default.
• W2891939571 created "2018-09-27" @default.
• W2891939571 creator A5010637807 @default.
• W2891939571 creator A5037354101 @default.
• W2891939571 creator A5044373322 @default.
• W2891939571 date "2018-09-01" @default.
• W2891939571 modified "2023-10-12" @default.
• W2891939571 title "Accounting for Complex Sampling in Survey Estimation: A Review of Current Software Tools" @default.
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