This is a table of contents of sorts for five posts on the visualization, fitting, and comparison of frequency distributions. The goal of these posts is to expose ecologists to the ideas and language related to good statistical practices for addressing frequency distribution data. The focus is on simple distributions and likelihood methods. The information provided here is far from comprehensive, but my aim is to give readers a good place to start when exploring this kind of data.

• Introduction
• Visualization I: Histograms
• Visualization II: Cumulative Distribution Functions and Kernel Density Estimates
• Fitting models to data (i.e., parameter estimation)
• Comparing model fits (i.e., model selection)
• UPDATE: Most important of all – do something