Métodos lineares nas estimativas dos parâmetros do modelo inteiramente casualizado
DOI:
https://doi.org/10.5433/1679-0367.1986v7n1p27Keywords:
Elementary matrix, Matrix of dispersion, Sum of squares.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.
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