Add to ORKGDissertação apresentada para obtenção do Grau de Doutor em Matemática, Estatística, pela Universidade Nova de Lisboa, faculdade de Ciências e TecnologiaThis thesis focuses on inference and hypothesis testing for parameters in orthogonal mixed linear models. A canonical form for such models is obtained using the matrices in principal basis of the commutative Jordan algebra associated to the model. UMVUE are derived and used for hypothesis tests. When usual F tests are not possible to use, generalized F tests arise, and the distribution for the statistic of such tests is obtained under some mild conditions. application of these results is made to cross-nested models
AbstractA method of testing the hypothesis of the kind H0:C′Φ1M=C′Φ2M in two independent multivariat...
1 AbstraktEN The diploma thesis deals with linear mixed effects models. In the first chap- ter, we d...
In the past half-century, statisticians have recognized the improvement in efficiency of many infere...
Dissertação apresentada para obtenção do Grau de Doutor em Matemática, Estatística, pela Universidad...
of the Nova University of Lisbon. Their opinions, suggestions and friendship were crucial for this w...
Graduation date: 1986This dissertation is concerned with hypothesis testing for\ud fixed effects in ...
Linear mixed models are useful in biology, genetics, medical research, agriculture, industry, and ma...
We intend to study the algebraic structure of the simple orthogonal models to use them, through bin...
Sem PDF. Fundacao para a Ciencia e a Tecnologia (Portuguese Foundation for Science and Technology) t...
The main purpose of Linear Algebra and Linear Models is to provide a rigorous introduction to the ba...
ABSTRACT. In the mixed linear model there exist different expressions for an estimator of a given li...
An approach for the analysis and inference of unbalanced mixed models is presented. Given a mixed mo...
Mixed models, with both random and fixed effects, are most often estimated on the assump-tion that t...
This work was partially supported by national founds of FCT-Foundation for Science and Technology un...
In this paper we use commutative Jordan Algebras to estimate variance components in linear mixed mod...
AbstractA method of testing the hypothesis of the kind H0:C′Φ1M=C′Φ2M in two independent multivariat...
1 AbstraktEN The diploma thesis deals with linear mixed effects models. In the first chap- ter, we d...
In the past half-century, statisticians have recognized the improvement in efficiency of many infere...
Dissertação apresentada para obtenção do Grau de Doutor em Matemática, Estatística, pela Universidad...
of the Nova University of Lisbon. Their opinions, suggestions and friendship were crucial for this w...
Graduation date: 1986This dissertation is concerned with hypothesis testing for\ud fixed effects in ...
Linear mixed models are useful in biology, genetics, medical research, agriculture, industry, and ma...
We intend to study the algebraic structure of the simple orthogonal models to use them, through bin...
Sem PDF. Fundacao para a Ciencia e a Tecnologia (Portuguese Foundation for Science and Technology) t...
The main purpose of Linear Algebra and Linear Models is to provide a rigorous introduction to the ba...
ABSTRACT. In the mixed linear model there exist different expressions for an estimator of a given li...
An approach for the analysis and inference of unbalanced mixed models is presented. Given a mixed mo...
Mixed models, with both random and fixed effects, are most often estimated on the assump-tion that t...
This work was partially supported by national founds of FCT-Foundation for Science and Technology un...
In this paper we use commutative Jordan Algebras to estimate variance components in linear mixed mod...
AbstractA method of testing the hypothesis of the kind H0:C′Φ1M=C′Φ2M in two independent multivariat...
1 AbstraktEN The diploma thesis deals with linear mixed effects models. In the first chap- ter, we d...
In the past half-century, statisticians have recognized the improvement in efficiency of many infere...