Titlebook: Grade Models and Methods for Data Analysis; With Applications fo Teresa Kowalczyk,El?bieta Pleszczyńska,Frederick R Book 2004 Springer-Verl

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C. Cheniclet,C. Bernard-Dagan,G. Paulyuced in Section 9.2. The basic procedure of GCA solves the problem of permuting the rows and columns of a probability table in order to maximize the value of the grade correlation .*. This is done by alternately permuting the rows and columns according to the respective grade regression function unt

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The Functional Role of Myocilin in Glaucomaescribed in Chapter 6 for pairs of random variables. Although the theoretical background assumes that the data must have the form of two-way probability tables, the method is applicable to almost any two-dimensional table which contains non-negative values. For example, input data tables can contain

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