Simulating Ordinal Data
Simulating Ordinal Data
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DOI：
10.1080/00273171.2012.692630
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发表时间：
2012-01-01
影响因子：
3.8
通讯作者：
Barbiero, Alessandro
中科院分区：
文献类型：
--
作者：
Ferrari, Pier Alda;Barbiero, Alessandro
序数变量在不同领域的使用越来越多，导致了新的统计方法的引入。这些方法的性能需要在许多实验条件下进行研究。然后需要从序数变量进行模拟的过程。在本文中，我们处理多元有序随机变量的模拟。我们提出了一种新的过程，用于从具有预先指定的相关矩阵和边际分布的序数随机变量生成样本。我们对其功能进行了检查并与其主要竞争对手进行了比较。还提供了 R 中的软件实现及其应用示例。
The increasing use of ordinal variables in different fields has led to the introduction of new statistical methods for their analysis. The performance of these methods needs to be investigated under a number of experimental conditions. Procedures to simulate from ordinal variables are then required. In this article, we deal with simulation from multivariate ordinal random variables. We propose a new procedure for generating samples from ordinal random variables with a prespecified correlation matrix and marginal distributions. Its features are examined and compared with those of its main competitors. A software implementation in R is also provided along with examples of its application.