Full maximum likelihood analysis of structural equation models with polytomous variables
Sik-Yum Lee,
Wai-Yin Poon and
P. M. Bentler
Statistics & Probability Letters, 1990, vol. 9, issue 1, 91-97
Abstract:
This paper is concerned with the analysis of structural equation models with polytomous variables. Identification conditions for the basic model are discussed. Theory for the full simultaneous maximum likelihood estimation of the thresholds and the covariance structure parameters is developed. An example is presented to illustrate the method.
Keywords: Identification; covariance; structures; maximum; likelihood (search for similar items in EconPapers)
Date: 1990
References: Add references at CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(90)90100-L
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:9:y:1990:i:1:p:91-97
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().