online read us now
Paper details
Number 2 - June 2007
Volume 17 - 2007
Iterative estimators of parameters in linear models with partially variant coefficients
Shaolin Hu, Karl Meinke, Rushan Chen, Ouyang Huajiang
Abstract
A new kind of linear model with partially variant coefficients is proposed and a series of iterative algorithms are introduced and verified. The new generalized linear model includes the ordinary linear regression model as a special case. The iterative algorithms efficiently overcome some difficulties in computation with multidimensional inputs and incessantly appending parameters. An important application is described at the end of this article, which shows that this new model is reasonable and applicable in practical fields.
Keywords
linear model, parameter estimation, iterative algorithms, variant coefficients