Abstract
Count data are often modeled with the Poisson distribution. Comparison of two Poisson rates can be done using the conditional test based on the binomial assumption. When the counts are underreported, the power of the conditional test can be impacted. We propose a large sample normal test and a small sample parametric bootstrap test based on estimators corrected for underreporting via a double sample. An example is given.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callSimilar Papers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
