Diagnostic tests for joint recapture and recovery data

Speaker: Dr Rachel McCrea (NCSE,University of Kent)

Abstract

Diagnostic goodness-of-fit tests for capture-recapture data are used prior to most analyses. However, when data include a mixture of live recaptures and dead recoveries, it is still standard practice to remove the dead recoveries from the data set before evaluating the existing goodness-of-fit tests.

Within this talk I will present adapted diagnostic tests for joint recapture and recovery data, and through simulation evaluate their power to detect specific departures from basic model assumptions. The importance of including all data available is demonstrated through simulation. I will include tests for both single- and multi-site joint recapture and recovery data and apply the new tests to a data set of great cormorants.

This is collaborative work with Byron Morgan (University of Kent) and Roger Pradel (CEFE, CNRS).