Hoerl and Kennard introduced a class of biased estimators (ridge estimators) for the parameters in an ill-conditioned linear model. In this paper the ridge estimators are viewed as a subclass of the ...

This paper develops an asymptotic theory for estimated change-points in linear and nonlinear time series models. Based on a measurable objective function, it is shown that the estimated change-point ...

This unit builds on the basic ideas of linear models introduced in Probability and Statistics 1 (MATH 11340), and Linear Models (MATH 35110), and extends them to deal with more general specifications.

Catalog : MATH.5910 Linear Statistics Modeling and Regression (Formerly 92.591) Id: 008463 Credits Min: 3 Credits Max: 3 Description Model building via linear regression models. Method of least ...

Linear Models (LM) are one of the most commonly used statistical methods to analyze continuous outcomes. However, many studies in Engineering, Medical Study, Education, etc. involve categorical ...

MATH.2220 — Online and Continuing Education Id: 008282 Offering: 2 Credits: 3-3 Description Linear transformations. Linear operators, change of basis, inner product and the diagonalization problem.