Therefore, the logit transformation
of the percentage of services outsourced is used as the dependent variable in our analysis.
i] and a vector of parameters [beta] through the Logit transformation
of equation [z.
When the explanatory variables were restricted variables, their logit transformation
was also performed according to the following formula: Z = logit(X) = ln[X/(1 - X)].
These first 2 steps are equivalent to a logit transformation
of the TPR and FPR, which is a standard transformation for working with proportions.
In a logistic regression model the logit transformation
of the probability p(x) is modeled as follows:
For the logit transformation
our idea was to transform the link qualities (which are probabilities and thus reside on interval (0,1)) to the whole real space.
We applied a logit transformation
to ensure that these variables are unbounded, making a normal distribution of errors possible.
jt] represents either a 0/1 indicator variable (charge/no charge) or the natural logarithm of charges, conditional on a positive charge, and f[[ldots]] is either the logit transformation
or a linear function.
This prior merely reflects the common belief that a certain degree of "smoothness" in the underlying data-generating function is likely (smaller parameter values result in smoother functions, since the logit transformation
is flattened as the parameter values decrease).
1, so we used the logit transformation
As in Deacon and Shapiro, the dependent variable is a logit transformation
of the percent of voters approving the referendum:
is the logit transformation
and is a linear combination of the independent variables and a set of coefficients |b.