Spatially Explicit Maximum Likelihood Methods for Capture-Recapture Studies

DOI10.1111/j.1541-0420.2007.00927.xzbMath1138.62088OpenAlexW2168456527WikidataQ50671848 ScholiaQ50671848MaRDI QIDQ3506480

M. G. Efford, David L. Borchers

Publication date: 13 June 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2007.00927.x

zbMATH Keywords

heterogeneityPoisson processhazard rate

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Point estimation (62F10) Estimation in survival analysis and censored data (62N02)

Related Items (14)

Bayesian methods for estimating animal abundance at large spatial scales using data from multiple sources ⋮ From distance sampling to spatial capture-recapture ⋮ Capture-recapture abundance estimation using a semi-complete data likelihood approach ⋮ Spatial capture-recapture with partial identity: an application to camera traps ⋮ Simultaneous modelling of movement, measurement error, and observer dependence in mark-recapture distance sampling: an application to arctic bird surveys ⋮ A general approach to model movement in (highly) fragmented patch networks ⋮ Spatial correlation structures for detections of individuals in spatial capture–recapture models ⋮ Wildlife population assessment: changing priorities driven by technological advances ⋮ A spatial capture‐recapture model for territorial species ⋮ Spatially explicit models for inference about density in unmarked or partially marked populations ⋮ Spatial capture-recapture models ⋮ Trace-contrast models for capture-recapture without capture histories ⋮ Close-kin mark-recapture ⋮ Efficient discretization of movement kernels for spatiotemporal capture-recapture

Uses Software

• secr
• MARK

Cites Work

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• Mixture Models for Estimating the Size of a Closed Population When Capture Rates Vary among Individuals
• Logistic Regression in Capture-Recapture Models
• Radial-Distance Models for the Line-Transect Method
• On the statistical analysis of capture experiments
• Inference for Poisson and multinomial models for capture-recapture experiments
• Nonparametric MLE under Two Closed Capture-Recapture Models with Heterogeneity
• Unified Maximum Likelihood Estimates for Closed Capture–Recapture Models Using Mixtures
• Estimating Population Size Via Sample Coverage for Closed Capture-Recapture Models

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