Métodos lineares nas estimativas dos parâmetros do modelo inteiramente casualizado

Here we give some applications of linear methods in the estimates of parameters of one-way classification. We proposed this work because the results obtained are suitable for practical necessities in statistics with applications in agronomy, veterinary, social sciences, biology and other sciences. T...

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Detalhes bibliográficos
Autores: Gonçalves, Cristina Faria Fidelis, Sanches, Samuel, Sharma, Naresh Kumar
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2004
País:Brasil
Recursos:Universidade Estadual de Londrina (UEL)
Repositório:Revista Semina: Ciências Exatas e Tecnológicas (Online)
Idioma:português
OAI Identifier:oai:ojs2.ojs.uel.br:article/6135
Acesso em linha:https://ojs.uel.br/revistas/uel/index.php/semexatas/article/view/6135
Access Level:Acceso aberto
Palavra-chave:Elementary matrix
Matrix of dispersion
Sum of squares.
Matriz elementar
Matriz de Dispersão
Somas de Quadrados.
Descrição
Resumo:Here we give some applications of linear methods in the estimates of parameters of one-way classification. We proposed this work because the results obtained are suitable for practical necessities in statistics with applications in agronomy, veterinary, social sciences, biology and other sciences. The method used here to solve a system of linear equations, when its matrix is singular, consists of reducing the number of columns of the matrix, in such a manner that it turns out to be practically inversive, thus simplifying the development of the theory of Statistical Estimates.