Analyzing Outcomes of Non-Deterministic Events in Fluctuating Temporal Data
Jacob Englert, J. Nolan · Murray State's Digital Commons (Murray State University) · 2018
Statisticians often look to examine changes after a designated event of interest occurs. It is often the case that such an event eludes experimental control and must also be examined within the context of time. Analytic techniques must reflect the need to evaluate data where such events occur asynchronously in a non-deterministic fashion. In addition, hidden underlying temporal trends add substantial complexity. This research describes the methodology underlying a case study which incorporates a unique solution used to address data containing both an underlying trend over time and a pseudo-randomly occurring event in time.