2017年3月
Identifiability of nonrecursive structural equation models
STATISTICS & PROBABILITY LETTERS
- ,
- 巻
- 122
- 号
- 開始ページ
- 109
- 終了ページ
- 117
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1016/j.spl.2016.11.010
- 出版者・発行元
- ELSEVIER SCIENCE BV
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.
- リンク情報
- ID情報
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- DOI : 10.1016/j.spl.2016.11.010
- ISSN : 0167-7152
- eISSN : 1879-2103
- Web of Science ID : WOS:000392785600016