Jun 20, 2012 · The design-based approach to the design problem constructs a proper probability distribution over a space of possible samples. A particular ...
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Request PDF | Robust model-based sampling designs | We investigate methods for the design of sample surveys, and address the traditional resistance of ...
Abstract We investigate methods for the design of sam- ple surveys, and address the traditional resistance of survey samplers to the use of model-based ...
model. Specifically we study robust sampling designs for model-based stratification, when the assumed distribution F0 (•) of an auxiliary variable x, and ...
Apr 7, 2022 · ... survey is complex in the sample design. This article proposes a fully model-based method for inference using non-probability samples where ...
Oct 20, 2015 · Robust model-based stratification sampling designs. Zhichun Zhai ... Specifically we study robust sampling designs for model-based stratification, ...
We investigate methods for the design of sample surveys, and address the traditional resistance of survey samplers to the use of model-based methods by ...
We investigate methods for the design of sample surveys, and address the traditional resistance of survey samplers to the use of model-based methods by ...
model. Specifically we study robust sampling designs for model-based stratification, when the assumed distribution F0 (·) of an auxiliary variable x, and ...
Oct 20, 2015 · In this article we aim to address this resistance as it affects model-based stratification methods; we do so by introducing model-robust methods ...