Key Points Discrete data is categorical data, rather than continuous measurements. It can be treated as continuous data, but that depends on the measurements set. It allows you to quantify things ...

Many people are tempted to collect continuous data and then convert it to discrete or attribute data. For example, you are collecting delivery time for each order.

Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...

This paper proposes a unifying approach to such analysis for a variety of discrete and continuous outcomes. A class of generalized estimating equations (GEEs) for the regression parameters is proposed ...

Roth, A. E., and M. Sotomayor. "Stable Outcomes in Discrete and Continuous Models of Two-Sided Matching: A Unified Treatment." Revista de econometria 16, no. 2 (November 1996): 1–24.