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 ...

Helena Geys, Meredith M. Regan, Paul J. Catalano, Geert Molenberghs, Two Latent Variable Risk Assessment Approaches for Mixed Continuous and Discrete Outcomes from Developmental Toxicity Data, Journal ...

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.

Choosing the right type of chart helps you display discrete data more effectively. Discrete data consists of whole numbers that are counted rather than measured. For example, when you track items ...