New method detects outliers in data, improving accuracy of predictive models.
The article discusses how to use ordered polytomous logistic models to analyze relationships between variables with ordinal values. It introduces a method to check how well the model fits the data and a process to identify unusual data points. The researchers also analyze real data to draw conclusions.