Author
Abstract
In this article, fundamental results on the formation of population capture cohorts using analysis, probability, and geometric arguments are derived. Capture cohort formation is studied in the article without a disease framework. The central framework draws inspiration from insect ecology or animal ecology and demography where the age of individuals, birth rates and distribution of time from disease to death are often unknown. Through geometric intuition and cohort formulations it is tried here improving our understanding of the longitudinal cohort data. The capture cohorts constructed here facilitates our analysis of the speed at which cohorts form, while ensuring that individuals do not overlap within cohorts. Such constructions improved our intuition on survival probabilities of cohorts. This article introduces original ideas by connecting the geometry of paths of cohort formations with methods of data analysis, probability, and mathematical analysis. Two functions that are linked through their domains are introduced and measurable function properties are proved. These functions helped to draw paths in the XY-plane. We also investigate the probability of capturing sub-cohorts within a specified time interval. The occurrence of an event of interest in a random experiment can be modeled using geometric distribution. It is shown that the shape of the formation of a cohort and the timings of the occurrence of the first captured individual in the population are related.
Suggested Citation
Arni S.R. Srinivasa Rao, 2025.
"Geometrical constructions and analysis in population capture cohorts,"
Mathematical Population Studies, Taylor & Francis Journals, vol. 32(4), pages 209-242, October.
Handle:
RePEc:taf:mpopst:v:32:y:2025:i:4:p:209-242
DOI: 10.1080/08898480.2025.2528588
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:mpopst:v:32:y:2025:i:4:p:209-242. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GMPS20 .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.