Pairwise likelihood approach to grouped continuous model and its extension

A.R. de Leon

Statistics & Probability Letters, 2005, vol. 75, issue 1, 49-57

Abstract: A pseudo-likelihood estimation method for the grouped continuous model and its extension to mixed ordinal and continuous data is proposed as an alternative to maximum likelihood estimation. The method, based on the pairwise likelihood approach, advocates simply pooling marginal pairwise likelihoods to approximate the full likelihood. In addition to being consistent and asymptotically normally distributed, maximum pairwise likelihood estimates are computationally simple to obtain. Simulations show that the estimates are quite accurate, yielding minimal bias and small root mean-squared errors. The methodology is illustrated using real-data examples.

Keywords: Composite; likelihood; Mixed; data; Multivariate; ordinal; data; Partition; maximum; likelihood; Polychoric; and; polyserial; correlations (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(05)00209-9
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:75:y:2005:i:1:p:49-57

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 ().