Add to ORKGIn this paper, a new procedure for testing the number of linear components in a general regression problem is introduced. It is based on a nonparametric estimate of the covariance matrix of the inverse regression curve. A review of previous dimension tests is also presented
Four methods for determining the dimensionality of a set of test items were compared: (1) linear fac...
Abstract: In classical multiple linear regression analysis problems will occur if the regressors are...
Regression is the study of the dependence of a response variable y on a collection predictors p coll...
In this paper, a new procedure for testing the number of linear components in a general regression p...
This paper presents a method for testing the dimension of a general regression problem without assum...
103 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.To effectively build a regres...
RT: Linear smoothers for dimension estimation Abstract: Sliced Inverse Regression (Li, 1991) is a si...
A family of dimension-reduction methods, the inverse regression (IR) family, is developed by minimiz...
In a high-dimensional linear regression model, we propose a new procedure for testing statistical si...
Dimensional Analysis (DA) is a mathematical method that manipulates the data to be analyzed in a hom...
International audienceFor tests based on nonparametric methods, power crucially depends on the dimen...
A family of dimension-reduction methods, the inverse regression (IR) family, is developed by minimiz...
This study compared four methods of determining the dimensionality of a set of test items: linear fa...
Dimension reduction for regression is a prominent issue today because technological advances now all...
A general regression problem is one in which a response variable can be expressed as some function o...
Four methods for determining the dimensionality of a set of test items were compared: (1) linear fac...
Abstract: In classical multiple linear regression analysis problems will occur if the regressors are...
Regression is the study of the dependence of a response variable y on a collection predictors p coll...
In this paper, a new procedure for testing the number of linear components in a general regression p...
This paper presents a method for testing the dimension of a general regression problem without assum...
103 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.To effectively build a regres...
RT: Linear smoothers for dimension estimation Abstract: Sliced Inverse Regression (Li, 1991) is a si...
A family of dimension-reduction methods, the inverse regression (IR) family, is developed by minimiz...
In a high-dimensional linear regression model, we propose a new procedure for testing statistical si...
Dimensional Analysis (DA) is a mathematical method that manipulates the data to be analyzed in a hom...
International audienceFor tests based on nonparametric methods, power crucially depends on the dimen...
A family of dimension-reduction methods, the inverse regression (IR) family, is developed by minimiz...
This study compared four methods of determining the dimensionality of a set of test items: linear fa...
Dimension reduction for regression is a prominent issue today because technological advances now all...
A general regression problem is one in which a response variable can be expressed as some function o...
Four methods for determining the dimensionality of a set of test items were compared: (1) linear fac...
Abstract: In classical multiple linear regression analysis problems will occur if the regressors are...
Regression is the study of the dependence of a response variable y on a collection predictors p coll...