Scatterplots in Analysis of Random Streams of Events
Abstract
Purpose: Our goals are probabilistic analysis of random streams of events on the base of two-dimensional scatterplots, and studying a common structure of charts for several most common models of random streams. Results: We have shown the specific features of building scatterplots which are displaying two-dimensional information in the problems of probability analysis of random streams of events. We introduced simple numerical characteristics reflecting the information structure of random data on the phase plane. We performed probabilistic analysis of scatterplots for a class of simple Poisson streams, for random streams with inhomogeneous probabilistic structure, for streams with double stochasticity and for a class of random alternating streams of events. Practical relevance: Presenting two-dimensional information on a phase plane is highly informative, therefore scatterplots are potentially useful. They allow you to store, average out and systematize sampled data, quickly assess the homogeneity of the event streams, consider correlation effects, grouping, random "contamination" effects and randomly missed data.Published
2016-08-19
How to Cite
Khimenko, V. (2016). Scatterplots in Analysis of Random Streams of Events. Information and Control Systems, (4), 85-93. https://doi.org/10.15217/issn1684-8853.2016.4.85
Issue
Section
Stochastic dynamics and chaos