title: Methods for joint inference from panel survey and demographic data.
abstract: A number of methods for joint inference from animal abundance and demographic data have been proposed in recent years, each with its own advantages. A new approach to analyzing panel survey and demographic data simultaneously is described. The approach fits population-dynamics models to the survey data, rather than to a single index of abundance derived from them and thus avoids disadvantages inherent in analyzing such an index. The methodology is developed and illustrated with British Lapwing data, and the results are compared with those obtained from existing approaches. The estimates of demographic parameters and population indices are similar for all methods. The results of a simulation study show that the new method performs well in terms of mean squared error.
authors.affiliation: Institute of Mathematics and Statistics, University of Kent, Canterbury, UK. P.T.Besbeas@kent.ac.uk
authors.forename: Panagiotis
authors.initials: P
authors.lastname: Besbeas
authors.forename: Stephen N
authors.initials: SN
authors.lastname: Freeman
mesh_terms: D000818:Animals; D001699:Biometry / Q000379:methods*; D001717:Birds / Q000502:physiology*; D003198:Computer Simulation; D003625:Data Collection; D003710:Demography; D017753:Ecosystem; D005260:Female; D016013:Likelihood Functions; D008297:Male; D008954:Models, Biological; D015233:Models, Statistical; D011156:Population Density; D011157:Population Dynamics