Parametric models for response errors in survey sampling (original) (raw)

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This paper discusses the framework for drawing inferences from sample data in survey sampling, focusing on the notion of true values and the accuracy of survey estimators. It outlines the perspectives proposed by Hansen, Hurwitz, and Pritzker on evaluating statistical surveys through ideal, defined, and actual goals, emphasizing the importance of mean-square error in measuring the effectiveness of surveys.

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