Peterson, B. and Harrell, F.E. (1990) Partial Proportional Odds Models for Ordinal Response Variables. Applied Statistics, 39, Article No. 205.

A random variable is one whose value is unknown or a function that assigns values to each of an experiment’s outcomes. A random variable can be discrete or continuous.

In recent articles, Labovitz has advanced several arguments as justification for treating ordinal and quasi-interval data as though they were interval, among them the fact that high correlations were ...

The ordinal interval number is a form of uncertain preference information in group decision making (GDM), while it is seldom discussed in the existing research. This paper investigates how the ranking ...

This course aims to introduce the statistical software package Stata, including its use for data management and data exploration.

This macro performs an ordinal cluster analysis on a given dataset. It processes the data to compute win fractions, conducts a mixed model regression on these win fractions, and fits a proportional ...

The problem of characterizing the sensitivity indices of structural performance considering random and interval uncertainty variables simultaneously is analyzed. Data-driven polynomial chaos expansion ...

Where the same quantitative (continuous or ordinal) variable is measured two (more often three) or more times from the same sample at different time points (or from different samples that have been ...