Suppose that you are trying to estimate abundance in a closed population using CMR
What parameter(s) will you need to estimate?
What will your data structure look like?
Describe briefly how you would go about designing a study to:
Meet key model assumptions
Have enough data the estimate parameters with precision and test your models
Suppose that you are estimating abundance , survival and recruitment in an open CMR study
What are your parameters now?
What is the data structure?
Describe some alternative ways to design a study to meet assumption and get precise estimates
What is multi-model inference and how would you use it in each of the above cases?