CFE-CMStatistics 2024: Start Registration
View Submission - CFECMStatistics2024
A1120
Title: Independent reads of Poisson flows Authors:  Fatemah Alqallaf - Kuwait University (Kuwait) [presenting]
Abstract: The independent readings of Poisson flows are studied by two different sources. The primary concern of the model is to determine a bivariate random vector with compound Poisson distribution components generated by the flow of Poisson arrivals, where only the Poisson counts of the number of arrivals are independent. Additionally, the model is formulated to study the coherence of cumulative counts of the flow of Poisson readings by two independent sources. Furthermore, a model is initiated to compare the predicted value of Poisson readings by the second source based on the Poisson readings of the same Poisson flow by the first source. Numerical illustrations are provided, using simulated data and real-life data as well. The real data is on the number of car passengers recorded by traffic cameras.