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sampling variability. It has several advantages over other programs, including the use of microsimulation and the bootstrap … deterministic approach, and may be especially advantageous in investigating distributions of MSLT functions. The bootstrap method …
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This paper helps document significant improvements in the child low-income rate as well as the significant decrease in the proportion of children who relied on public assistance in the United States during the 1990s. Many disadvantaged groups of children were less likely to live in poor or...
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An iterated bootstrap confidence interval requires an additive correction to be made to the nominal coverage level of … involving two nested levels of bootstrap sampling. Asymptotic expansions of the required correction and the iterated interval … bootstrap confidence interval. The first asymptotic interval replaces the need for a second level of bootstrap sampling with a …
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