有序分类分布的不等式排序:基于地位的方法

Asis Kumar Banerjee
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引用次数: 0

摘要

衡量变量分布不平等的一个基本问题是如何定义备选分布集的不平等支配关系(IDR),即如何判定变量的某一特定分布是否比另一分布更不平等。在这一研究方向上取得重要进展的情况是,有关变量是以卡片形式计量的。然而,对于顺序变量的研究则相对较少。本文考虑了有序分类变量的情况。它采用了一种基于个人 "地位 "概念的不平等排序方法,并通过使用一个新的先验条件 "地位主要化"(Status Majorization)来制定 IDR 的定义。结果表明,如此定义的 IDR 与 "哈蒙德多数化 "条件是一致的。我们还得到了一种经验关系(即根据观察数据定义的关系),它实现了建议的定义。本文还报告了一个示例应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inequality ranking of ordered categorical distributions: A status-based approach

One of the basic questions that arise in measuring inequality in the distribution of a variable is how to define the inequality dominance relation (IDR) on the set of alternative distributions i.e. how to decide whether a particular distribution of the variable is to be considered to be no more unequal than another. Important advances in this line of research have been made in the case where the variable in question is cardinally measured. The case of ordinal variables, however, is a relatively unexplored area. This paper considers the case of ordered categorical variables. It adopts an approach to inequality ranking based on the notion of ‘status’ of the individuals and formulates a definition of the IDR by using a new a priori condition, Status Majorization, that one would intuitively expect this relation to satisfy. It is shown that the IDR, so defined, is compatible with the condition of Hammond Majorization. An empirical relation (i.e. a relation defined in terms of observed data) that implements the suggested definition is also obtained. An illustrative application is reported.

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