Poster Title

Analyzing Outcomes of Non-Deterministic Events in Fluctuating Temporal Data

Grade Level at Time of Presentation

Senior

Major

Mathematics & Statistics

Institution

Northern Kentucky University

KY House District #

68

KY Senate District #

24

Department

Department of Mathematics and Statistics

Abstract

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.

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Analyzing Outcomes of Non-Deterministic Events in Fluctuating Temporal Data

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.