This is a preview. Log in through your library . Abstract A new method for Total Least Squares (TLS) problems is presented. It differs from previous approaches and is based on the solution of ...

Lehigh researchers create new method that improves consistency between predicted and observed data. An international team of mathematicians led by Lehigh University statistician Taeho Kim has ...

This paper studies L² norm error estimates for the div least-squares method for which the associated homogeneous least-squares functional is equivalent to the H(div ...

In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, ...

THE method of least squares has an extensive literature of its own. Our author, in a sketch appended to his work, gives the titles of forty-seven of the most important memoirs and books which treat of ...

In the supply and demand model, P is an endogenous variable, and consequently the OLS estimates are biased. The following example estimates this model using two-stage least squares: proc syslin ...

In a multivariate regression model, the errors in different equations may be correlated. In this case the efficiency of the estimation may be improved by taking these cross-equation correlations into ...