Testing and estimation of equal variances for correlated variables
Alexander Shapiro () and
Statistics & Probability Letters, 1990, vol. 10, issue 3, 231-234
For testing the equality of variances for correlated variables, Harris (1985) suggested Wald type test statistics. In this note we show that this test coincides with the generalized least squares statistic employed in the analysis of covariance structures. We derive the generalized least squares estimator of the common variance. This estimator is compared with the average sample variances which is the ordinary least squares estimator for this problem.
Keywords: Covariance; structures; generalized; least; squares; test; of; homogeneity (search for similar items in EconPapers)
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:10:y:1990:i:3:p:231-234
Ordering information: This journal article can be ordered from
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 Dana Niculescu ().