Open Journal of Statistics

Volume 13, Issue 1 (February 2023)

ISSN Print: 2161-718X   ISSN Online: 2161-7198

Google-based Impact Factor: 1.45  Citations  

Probability Distributions Arising in Connection with the Inspection Paradox for the Poisson Process

HTML  XML Download Download as PDF (Size: 269KB)  PP. 16-24  
DOI: 10.4236/ojs.2023.131002    168 Downloads   844 Views  Citations

ABSTRACT

The Inspection Paradox refers to the fact that in a Renewal Process, the length of the interarrival period which contains a fixed time is stochastically larger than the length of a typical interarrival period. To provide a more complete understanding of this phenomenon, conditioning arguments are used to obtain the distributions and moments of the lengths of the interarrival periods other than the one containing this fixed time for the case of the time-homogeneous Poisson Process. Distributions of the waiting times for events that occur both before and after this fixed time are derived. This provides a fairly complete probabilistic analysis of the Inspection Paradox.

Share and Cite:

Marengo, J. , Himes, A. , Reinberger, W. and Farnsworth, D. (2023) Probability Distributions Arising in Connection with the Inspection Paradox for the Poisson Process. Open Journal of Statistics, 13, 16-24. doi: 10.4236/ojs.2023.131002.

Copyright © 2025 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.