Métodos lineares nas estimativas dos parâmetros do modelo inteiramente casualizado

Cristina Faria Fidelis Gonçalves, Samuel Sanches, Naresh Kumar Sharma

Abstract


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.

 


Keywords


Elementary matrix, Matrix of dispersion, Sum of squares.



DOI: http://dx.doi.org/10.5433/1679-0359.1986v7n1p27

Semina: Ciênc. Agrár.
Londrina - PR
E-ISSN 1679-0359
DOI: 10.5433/1679-0359
E-mail: semina.agrarias@uel.br
Este obra está licenciado com uma Licença Creative Commons Atribuição-NãoComercial 4.0 Internacional