Conditional modelling of ring-recovery data

1. Ring-recovery data can be used to obtain estimates of survival probability which is a key demo-

data is needed when cohort numbers are unavailable or unreliable. It is often necessary to include in

result in biased estimates of annual survival.

sions to be drawn regarding the effects of climate change.

and propose and investigate a range of alternative procedures.

is a scaled-logistic model, and it is shown to provide a unifying analysis of several data sets collected

insights and avenues for ecological research. The wider performance of this model is evaluated

5. In this study, we propose a new scaled-logistic model for the analysis of ring-recovery data with-

is shown to perform well in simulation studies and for both a single real data set and several real

that currently do not incorporate such reporting probabilities. Alternative models are shown to

possess undesirable features.