Most approaches to credit scoring result in the generation of a model that minimises some function of error between actual and predicted values, or that maximises likelihood. Popular approaches include least squares methods such as linear regression and disciminant analysis, and maximum likelihood methods such as logistic regression. In practice, the criteria by which the parameters of a model ...

The lack of consistent presentation results in published studies on the association between a quantitative explanatory variable and dependent has been long-term issue evaluating reported findings. Studies are analyzed variety ways. main purpose this review is to illustrate procedures summarizing synthesizing research from multivariate models with outcome variable. summarizes application standar...