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 ...

Least squares solution of F= PG with respect to positive semidefinite symmetric P is considered,a new necessary and sufficient condition for solvablity is given, and the expression of solution is ...

The least-squares method of cost estimation involves using mathematical regression techniques to calculate the slope and intercept of the best-fit line for the costs used in estimation.

Linear regression-based quantitative trait loci/association mapping methods such as least squares commonly assume normality of residuals.

The line of best fit is an output of regression analysis that represents the relationship between two or more variables in a dataset.