Lycoming College students Co Published physics paper titled "Using missing ordinal patterns to detect nonlinearity in time series data"

The paper presents a new method for analyzing data see if that system generating the data obeys a set of rules that are either simple (linear) or complicated (nonlinear). The ability to identify the types of rules obeyed by a system is very important for developing mathematical models of the system.

To view these students click here: http://lycoming.meritpages.com/achievements/Lycoming-College-students-Co-Published-physics-paper-titled-Using-missing-ordinal-patterns-to-detect-nonlinearity-in-time-series-data-/78789