SUMMARY. In this paper we develop the theory of linear models using the properties of Linear Zero Functions. It is shown that all the major results on inference can be derived using these properties and simple vector space arguments. The general philosophy of the development is to enhance understanding of the problem by appealing to the intuition of the reader. A common feature of the results derived here is that they integrate the singular dispersion case into the mainstream. This is achieved without the use of heavy algebra. On the contrary, most of the derivations are simpler than the conventional ones. Nevertheless, the extension of some of the results to the singular dispersion case are new. 1
<p>Properties of linear models in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.p...
The point estimation of the parameter {Mathematical expression} of a dispersion matrix {Mathematical...
AbstractIn the general Gauss-Markoff model (Y, Xβ, σ2V), when V is singular, there exist linear func...
AbstractAnalysis of the general linear model with possibly rank-deficient design and dispersion matr...
AbstractThis note gives some new forms and shortened proofs for results on the linear model with sin...
This is a companion volume to Plane Answers to Complex Questions: The Theory 0/ Linear Models. It co...
The main purpose of Linear Algebra and Linear Models is to provide a rigorous introduction to the ba...
The book is based on several years of experience of both authors in teaching linear models at variou...
Linear models are a type of mathematical model commonly used by statisticians in order to capture th...
A linear structure is a family of matrices that satisfy a given set of linear restrictions, such as ...
. A general linear model can be written as Y = XB 0 + U , where Y is an N \Theta p matrix of obser...
AbstractThis paper provides further contributions to the theory of linear sufficiency and linear com...
Linear models are statistical models that are linear in their parameters. This class of models incl...
This paper revisits the topic of how linear functions of observations having zero expectation, play ...
In this paper we obtain the complete class of representations and useful subclasses of MV-UB-LE and ...
<p>Properties of linear models in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.p...
The point estimation of the parameter {Mathematical expression} of a dispersion matrix {Mathematical...
AbstractIn the general Gauss-Markoff model (Y, Xβ, σ2V), when V is singular, there exist linear func...
AbstractAnalysis of the general linear model with possibly rank-deficient design and dispersion matr...
AbstractThis note gives some new forms and shortened proofs for results on the linear model with sin...
This is a companion volume to Plane Answers to Complex Questions: The Theory 0/ Linear Models. It co...
The main purpose of Linear Algebra and Linear Models is to provide a rigorous introduction to the ba...
The book is based on several years of experience of both authors in teaching linear models at variou...
Linear models are a type of mathematical model commonly used by statisticians in order to capture th...
A linear structure is a family of matrices that satisfy a given set of linear restrictions, such as ...
. A general linear model can be written as Y = XB 0 + U , where Y is an N \Theta p matrix of obser...
AbstractThis paper provides further contributions to the theory of linear sufficiency and linear com...
Linear models are statistical models that are linear in their parameters. This class of models incl...
This paper revisits the topic of how linear functions of observations having zero expectation, play ...
In this paper we obtain the complete class of representations and useful subclasses of MV-UB-LE and ...
<p>Properties of linear models in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.p...
The point estimation of the parameter {Mathematical expression} of a dispersion matrix {Mathematical...
AbstractIn the general Gauss-Markoff model (Y, Xβ, σ2V), when V is singular, there exist linear func...