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where is smooth function of, and at least of three order in variables.
where,, are smooth functions of and at least of the third order in variables, (3.17).
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The ranking assigned to these variables relates to the order in which variables were added to the logistic regression models.
where,,, are smooth functions of and at least of order three in variables.
where is smooth function of, and at least of order three in variables and (3.24).
and is smooth function of, and at least of order three in variables.
Within each group the order in which variables were added into the model was determined by Bayesian Information Criterion BICC) values of each variable added into the model individually.
Since the order in which variables are entered can impact their effect on the model r-square, alternating forward and backward steps reduces bias in model selection.
In such a model, the system behavior depends only on the order in which variables change values.
In hierarchic multiple regression, the order in which variables are entered is specified in advance.
The order in which variables were introduced into the multivariate model was determined by the size of the p-value in the univariate analysis (starting with the smallest p-value).
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