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- W2087698731 abstract "Abstract For unequal probability sampling designs, design-based variance estimation is cumbersome because it requires second-order inclusion probabilities. For most fixed sample size probability proportional-to-size (φPS) schemes, these probabilities are difficult to compute, and the variance estimation depends on them for a tedious double-sum calculation. We show how to replace the traditional φPS scenario with simpler design/estimator alternatives that preserve the high efficiency characteristic of φPS schemes. These use the generalized regression estimator, and the variance estimation entails only the calculation of a simple weighted squared residual sum." @default.
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- W2087698731 date "1996-09-01" @default.
- W2087698731 modified "2023-10-03" @default.
- W2087698731 title "Efficient Estimators with Simple Variance in Unequal Probability Sampling" @default.
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- W2087698731 doi "https://doi.org/10.1080/01621459.1996.10476998" @default.
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