A Bootstrap Variance Estimation Method for Multistage Sampling and Two-Phase Sampling When Poisson Sampling Is Used at the Second Phase
نویسندگان
چکیده
The bootstrap method is often used for variance estimation in sample surveys with a stratified multistage sampling design. It typically implemented by producing set of weights that made available to users and accounts the complexity Rao–Wu–Yue produce required weights. valid under with-replacement at first stage or fixed-size without-replacement provided first-stage fractions are negligible. Some use designs do not satisfy these conditions. We propose simple unified addresses this limitation This applicable any design as long can be produced each distinct sampling. Our also two-phase Poisson second phase. model survey nonresponse derive account weighting. properties our evaluated three limited simulation studies.
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ژورنال
عنوان ژورنال: Stats
سال: 2022
ISSN: ['2571-905X']
DOI: https://doi.org/10.3390/stats5020019