Towards the mother–of–all–models: customised construction of the mark–recapture likelihood function

Towards the mother-of-all-models: customised construction of the mark-recapture likelihood function. With a proliferation of mark-recapture models and studies collecting mark-recapture data, software and analysis methods are being continually revised. We consider the construction of the likelihood for a general model that incorporates all the features of the recently developed models: it is a multistate robust-design mark-recapture model that includes dead recoveries and resightings of marked animals and is parameterised in terms of state-specific recruitment, survival, movement, and capture probabilities, state-specific abundances, and state-specific recovery and resighting probabilities. The construction that we outline is based on a factorisation of the likelihood function with each factor corresponding to a different component of the data. Such a construction would allow the likelihood function for a mark- recapture analysis to be customized according to the components that are actually present in the dataset.

[1]  J. Nichols,et al.  Statistical inference for capture-recapture experiments , 1992 .

[2]  Kenneth H. Pollock,et al.  CAPTURE-RECAPTURE STUDIES FOR MULTIPLE STRATA INCLUDING NON-MARKOVIAN TRANSITIONS , 1993 .

[3]  Carl J. Schwarz,et al.  A General Methodology for the Analysis of Capture-Recapture Experiments in Open Populations , 1996 .

[4]  G. Seber A NOTE ON THE MULTIPLE-RECAPTURE CENSUS. , 1965, Biometrika.

[5]  Richard J. Barker,et al.  JOINT MODELING OF LIVE-RECAPTURE, TAG-RESIGHT, AND TAG-RECOVERY DATA , 1997 .

[6]  Roger Pradel,et al.  M-SURGE: new software specifically designed for multistate capture-recapture models , 2004 .

[7]  Louis-Paul Rivest,et al.  Loglinear Models for the Robust Design in Mark–Recapture Experiments , 2004, Biometrics.

[8]  Kenneth P. Burnham,et al.  Encounter history modeling of joint mark-recapture, tag-resighting and tag-recovery data under temporary emigration , 2004 .

[9]  Tue Tjur,et al.  A Connection between Rasch's Item Analysis Model and a Multiplicative Poisson Model , 1982 .

[10]  David R. Anderson,et al.  Statistical inference from capture data on closed animal populations , 1980 .

[11]  R. Cormack Estimates of survival from the sighting of marked animals , 1964 .

[12]  J. Norris,et al.  NONPARAMETRIC MLE UNDER TWO CLOSED CAPTURE-RECAPTURE MODELS WITH HETEROGENEITY , 1996 .

[13]  K. Burnham,et al.  Program MARK: survival estimation from populations of marked animals , 1999 .

[14]  Carl J. Schwarz,et al.  POPAN-6: Exploring convergence and estimate properties with SIMULATE , 2002 .

[15]  David R. Anderson,et al.  Statistical inference from capture data on closed animal populations , 1980 .

[16]  B. Manly,et al.  Parsimonious modelling of capture―mark―recapture studies , 1985 .

[17]  J. D. Lebreton,et al.  Multistate recapture models: Modelling incomplete individual histories , 2002 .

[18]  C Brownie,et al.  A likelihood-based approach to capture-recapture estimation of demographic parameters under the robust design. , 1995, Biometrics.

[19]  G. Jolly EXPLICIT ESTIMATES FROM CAPTURE-RECAPTURE DATA WITH BOTH DEATH AND IMMIGRATION-STOCHASTIC MODEL. , 1965, Biometrika.

[20]  David R. Anderson,et al.  Statistical Inference from Band Recovery Data: A Handbook , 1978 .

[21]  S. Pledger Unified Maximum Likelihood Estimates for Closed Capture–Recapture Models Using Mixtures , 2000, Biometrics.

[22]  C. Schwarz,et al.  ESTIMATING TEMPORARY MIGRATION USING THE ROBUST DESIGN , 1997 .

[23]  A. Agresti Simple capture-recapture models permitting unequal catchability and variable sampling effort. , 1994, Biometrics.

[24]  S. Fienberg The multiple recapture census for closed populations and incomplete 2k contingency tables , 1972 .

[25]  Roger Pradel,et al.  Utilization of capture-mark-recapture for the study of recruitment and population growth rate. , 1996 .

[26]  J E Hines,et al.  Combining Band Recovery Data and Pollock's Robust Design to Model Temporary and Permanent Emigration , 2001, Biometrics.

[27]  James E. Hines,et al.  ESTIMATING TEMPORARY EMIGRATION USING CAPTURE-RECAPTURE DATA WITH POLLOCK'S ROBUST DESIGN , 1997 .

[28]  William L. Kendall,et al.  Coping with unobservable and mis-classified states in capture-recapture studies , 2004 .

[29]  Kenneth H. Pollock,et al.  Capture-Recapture Models Allowing for Age-Dependent Survival and Capture Rates , 1981 .

[30]  R. Wolpert,et al.  Integrated likelihood methods for eliminating nuisance parameters , 1999 .

[31]  W L Kendall,et al.  Using Open Robust Design Models to Estimate Temporary Emigration from Capture—Recapture Data , 2001, Biometrics.

[32]  Gary C. White,et al.  Numerical estimation of survival rates from band-recovery and biotelemetry data , 1983 .

[33]  Carl J. Schwarz,et al.  Estimating migration rates using tag-recovery data , 1993 .