Consistency of LSE for the many-dimensional symmetric textured surface parameters

Abstract
Publisher: VTeX - Solutions for Science Publishing, Journal: Modern Stochastics - Theory and Applications, Title: Consistency of LSE for the many-dimensional symmetric textured surface parameters, Authors: Oleksandr Dykyi, Alexander Ivanov , A multivariate trigonometric regression model is considered. In the paper strong consistency of the least squares estimator for amplitudes and angular frequencies is obtained for such a multivariate model on the assumption that the random noise is a homogeneous or homogeneous and isotropic Gaussian, specifically, strongly dependent random field on ${\mathbb{R}^{M}},M\ge 3$.