Advanced search
Publication Cover
Journal of the American Statistical Association Volume 88, 1993 - Issue 421
Submit an article Journal homepage
60
Views
6
CrossRef citations to date
0
Altmetric
Theory and Methods

Statistical Inference Based on Pseudo-Maximum Likelihood Estimators in Elliptical Populations

Yutaka Kano Department of Mathematical Sciences, College of Engineering, University of Osaka Prefecture, Sakai, Osaka 591, Japan
,
Maia Berkane Department of Psychology, University of California, Los Angeles, CA, 90024-1563
&
Peter M. Bentler Department of Psychology, University of California, Los Angeles, CA, 90024-1563
Pages 135-143 | Published online: 20 Dec 2012

Citations (6)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (5)

Danúbia R. Cunha, Jose Angelo Divino & Helton Saulo. (2022) On a log-symmetric quantile tobit model applied to female labor supply data. Journal of Applied Statistics 49:16, pages 4225-4253.
Read now
Keke Lai. (2019) More Robust Standard Error and Confidence Interval for SEM Parameters Given Incorrect Model and Nonnormal Data. Structural Equation Modeling: A Multidisciplinary Journal 26:2, pages 260-279.
Read now
Keke Lai, Samuel B. Green, Roy Levy, Ray E. Reichenberg, Yuning Xu, Marilyn S. Thompson, Nedim Yel, Natalie D. Eggum-Wilkens, Katie L. Kunze & Masumi Iida. (2016) Assessing Model Similarity in Structural Equation Modeling. Structural Equation Modeling: A Multidisciplinary Journal 23:4, pages 491-506.
Read now
Xin-Yuan Song, Ye-Mao Xia, Jun-Hao Pan & Sik-Yum Lee. (2011) Model Comparison of Bayesian Semiparametric and Parametric Structural Equation Models. Structural Equation Modeling: A Multidisciplinary Journal 18:1, pages 55-72.
Read now
R. B. Arellano-Valle & H. Bolfarine. (1996) Elliptical structural models. Communications in Statistics - Theory and Methods 25:10, pages 2319-2341.
Read now

Articles from other publishers (1)

Zhihua MaGuanghui Chen. (2019) Bayesian semiparametric latent variable model with DP prior for joint analysis: Implementation with nimble. Statistical Modelling 20:1, pages 71-95.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.