Add to ORKGTheory of linear estimation and applicability to problems of smoothing, filtering, extrapolation, an...
by Lam Man Kin.Thesis (M.Phil.)--Chinese University of Hong Kong, 1990.Bibliography: leaves 69-71.Ch...
This thesis presents multiple fundamental mathematical contributions to Generalized Linear Models (G...
The book is based on several years of experience of both authors in teaching linear models at variou...
The main purpose of Linear Algebra and Linear Models is to provide a rigorous introduction to the ba...
by Tsz-Kit Keung.Thesis (M.Phil.)--Chinese University of Hong Kong, 1996.Includes bibliographical re...
In this note, we first present three different types of generalized inverse matrices (conditional, l...
The methodology of Johnson, Baner, Moore, and Grant can be applied to large scale linear programming...
Bibliography: p. 178-182.The purpose of this thesis is to provide a study of the linear model. The w...
by Chung Sai Ho.Thesis (M.Phil.)--Chinese University of Hong Kong, 1996.Includes bibliographical ref...
Part A of the course discusses methods of inference for • Classical Nonlinear Models: We give a gene...
This is a companion volume to Plane Answers to Complex Questions: The Theory 0/ Linear Models. It co...
The perspective afforded by Euclidean geometry led to the rapid development of linear models in the ...
This paper is a survey on traditional linear regression techniques using the lñ-, l2-, and lâÂÂ-n...
This research project deals with computationally related problems in the general area of l(,p) (p (G...
Theory of linear estimation and applicability to problems of smoothing, filtering, extrapolation, an...
by Lam Man Kin.Thesis (M.Phil.)--Chinese University of Hong Kong, 1990.Bibliography: leaves 69-71.Ch...
This thesis presents multiple fundamental mathematical contributions to Generalized Linear Models (G...
The book is based on several years of experience of both authors in teaching linear models at variou...
The main purpose of Linear Algebra and Linear Models is to provide a rigorous introduction to the ba...
by Tsz-Kit Keung.Thesis (M.Phil.)--Chinese University of Hong Kong, 1996.Includes bibliographical re...
In this note, we first present three different types of generalized inverse matrices (conditional, l...
The methodology of Johnson, Baner, Moore, and Grant can be applied to large scale linear programming...
Bibliography: p. 178-182.The purpose of this thesis is to provide a study of the linear model. The w...
by Chung Sai Ho.Thesis (M.Phil.)--Chinese University of Hong Kong, 1996.Includes bibliographical ref...
Part A of the course discusses methods of inference for • Classical Nonlinear Models: We give a gene...
This is a companion volume to Plane Answers to Complex Questions: The Theory 0/ Linear Models. It co...
The perspective afforded by Euclidean geometry led to the rapid development of linear models in the ...
This paper is a survey on traditional linear regression techniques using the lñ-, l2-, and lâÂÂ-n...
This research project deals with computationally related problems in the general area of l(,p) (p (G...
Theory of linear estimation and applicability to problems of smoothing, filtering, extrapolation, an...
by Lam Man Kin.Thesis (M.Phil.)--Chinese University of Hong Kong, 1990.Bibliography: leaves 69-71.Ch...
This thesis presents multiple fundamental mathematical contributions to Generalized Linear Models (G...