Identifiability of nonrecursive structural equation models
Identifiability of nonrecursive structural equation models
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DOI：
10.1016/j.spl.2016.11.010
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发表时间：
2017-03-01
影响因子：
0.8
通讯作者：
Kano, Yutaka
中科院分区：
文献类型：
--
作者：
Nagase, Mario;Kano, Yutaka
研究横截面数据中相互影响的一种方法是应用非递归结构方程模型。本文从理论角度研究相互影响模型的可识别性问题。在多种设定下给出了可识别性条件。© 2016爱思唯尔有限公司。保留所有权利。
An approach to studying reciprocal-effects in a cross-sectional data is to apply nonrecursive structural equation models. This article takes a theoretical approach to study the identifiability problem of reciprocal-effect models. Identifiability conditions are presented under a variety of settings. (C) 2016 Elsevier B.V. All rights reserved.