In a general normal regression model, this paper first derives the least upper bound (LUB) for the covariance matrix of a generalized least squares estimator (GLSE) relative to the covariance matrix ...

Linear regression is a method for modeling the relationship between two numerical variables by fitting a straight line to the data. It is used to understand how changes in an explanatory variable ...

Ying Yuan, Hongtu Zhu, Weili Lin, J. S. Marron, Local polynomial regression for symmetric positive definite matrices, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol.

Only two factors - human population and relief energy (difference of minimum altitude from the maximum in a sampled area) - were verified if they give sufficient elucidation of deforestation by a ...