Estimation of Kinetic Parameters by Linear Least Squares

Estimation of Linear Vectorial Semiparametric Models by Least Squares

Abstract. Semiparametric model is a statistical model consisting of both parametric and nonparametric components, which can be looked on as a mixture model. The theoretical properties of this model have been studied extensively, such as large-sample property. However, most researches are based on scalar value, in which the dimension of the observation is one at each moment. In the fields of spa...

Least Squares Solutions of Inconsistent Fuzzy Linear Matrix Equations

Generalized Least Squares and Weigh- Ted Least Squares Estimation Methods for Distributional Parameters

• Regression procedures are often used for estimating distributional parameters because of their computational simplicity and useful graphical presentation. However, the resulting regression model may have heteroscedasticity and/or correction problems and thus, weighted least squares estimation or alternative estimation methods should be used. In this study, we consider generalized least square...

Least-Squares Estimation of Transformation Parameters Between Two Point Patterns

Estimating Variances in Weighted Least-Squares Estimation of Distributional Parameters

Abstract: Many estimation methods have been proposed for the parameters of statistical distribution. The least squares estimation method, based on a regression model or probability plot, is frequently used by practitioners since its implementation procedure is extremely simple in complete and censoring data cases. However, in the procedure, heteroscedasticity is present in the used regression m...