On Pareto \(\pi\)ps sampling: reflections on unequal probability sampling strategies (Q2740071)

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scientific article; zbMATH DE number 1646482
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On Pareto \(\pi\)ps sampling: reflections on unequal probability sampling strategies
scientific article; zbMATH DE number 1646482

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    16 September 2001
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    anticipated variance
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    generalized regression estimators
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    Pareto sampling
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    Poisson mixture sampling
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    model-based stratified sampling
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    On Pareto \(\pi\)ps sampling: reflections on unequal probability sampling strategies (English)
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    The authors consider Pareto \(\pi\)ps sampling and Poisson mixture sampling. These designs are compared with model-based simple random stratified sampling. From these comparisons, based on anticipated variances and a simulation study from a population that mirrors factual conditions, follows that the model-based stratified sampling approach still is a strong alternative in applications where the probability proportional-to-size sampling is considered to be appropriate.
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