http://unisep.lib.unishams.edu.my/xmlui/handle/123456789/32197 Mon, 06 Apr 2026 03:16:10 GMT 2026-04-06T03:16:10Z http://unisep.lib.unishams.edu.my/xmlui/handle/123456789/28457 Estimation of Covariance Matrices Nur Izyan Binti Mustafa Khalid; Zahayu Binti Md Yusof This article introduces covariance regression analysis for a p-dimensional response vector. The proposed method explores the regression relationship between the p-dimensional covariance matrix and auxiliary information. We study two types of estimators: maximum likelihood and ordinary least squares (OLS). Then, we demonstrate that these regression estimators are consistent and asymptotically normal. Furthermore, we obtain the high dimensional and large sample properties of the corresponding covariance matrix estimators. Simulation experiments are presented to demonstrate the performance of both regression and covariance matrix estimates. An example is analysed from the Gross Domestic Product (GDP) to illustrate the usefulness of the proposed covariance regression model. Wed, 01 Dec 2021 00:00:00 GMT http://unisep.lib.unishams.edu.my/xmlui/handle/123456789/28457 2021-12-01T00:00:00Z