论文标题
使用R包R2Beat的两阶段采样设计和样品选择
Two-stage Sampling Design and Sample Selection with the R package R2BEAT
论文作者
论文摘要
R2Beat（r“至” Bethel扩展分配的两阶段采样）是用于分配样品的R软件包。除了处理分配问题的其他软件和包装外，其特殊性还在于面临适当的分配问题，用于具有多域和多功能目的的复杂采样设计。这在许多官方和非官方统计调查中很常见，因此R2Beat可能成为计划样本调查的重要工具。该软件包实现了TSCHPROW（1923）-Neyman（1934）的方法，用于在分层采样中最佳分配单位，将其扩展到多变量（因此归功于Bethel's formosal（1989）），多域，多域以及复杂的采样设计案例（Falorsi等，1998）。 R2Beat中实现的功能允许使用不同的工作流，具体取决于一个或多个兴趣变量的可用信息。该软件包涵盖了所有阶段，从样本的优化到主要和次级单元的选择。此外，它提供了几个用于评估分配结果的输出。
R2BEAT (R "to" Bethel Extended Allocation for Two-stage sampling) is an R package for the allocation of a sample. Besides other software and packages dealing with the allocation problems, its peculiarity lies in facing properly allocation problems for complex sampling designs with multi-domain and multi-purpose aims. This is common in many official and non-official statistical surveys, therefore R2BEAT could become an essential tool for planning a sample survey. The package implements the Tschprow (1923) - Neyman (1934) method for the optimal allocation of units in stratified sampling, extending it to the multivariate (accordingly to Bethel's proposal (1989)), multi-domain and to the complex sampling designs case (Falorsi et al., 1998). The functions implemented in R2BEAT allow the use of different workflows, depending on the available information on one or more interest variables. The package covers all the phases, from the optimization of the sample to the selection of the Primary and Secondary Stage Units. Furthermore, it provides several outputs for evaluating the allocation results.
