Variance estimation for integrated population models
DOI10.1007/s10182-017-0304-5zbMath1443.62398OpenAlexW2744136396MaRDI QIDQ1622169
Byron J. T. Morgan, Panagiotis Besbeas
Publication date: 12 November 2018
Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)
Full work available at URL: https://kar.kent.ac.uk/62889/1/AstA.pdf
bootstrapcross-validationcubic splinesstate-space modelsplug-in methodpenalised likelihoodoverfittingtime-dependent parametersGrey heronmark-recovery-recapture dataprocess/observation error estimation
Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Population dynamics (general) (92D25)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A threshold model for heron productivity
- Bandwidth choice for nonparametric regression
- Modeling demographic processes in marked populations
- An improved Akaike information criterion for state-space model selection
- Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges
- Multi-site integrated population modelling
- Integrating Mark-Recapture-Recovery and Census Data to Estimate Animal Abundance and Demographic Parameters
- The Analysis of Ring-Recovery Data Using Random Effects
- The Efficient Integration of Abundance and Demographic Data
- Modeling Heterogeneity in Survival Rates of Banded Waterfowl
- A Penalized Nonparametric Maximum Likelihood Approach to Species Richness Estimation
- Discussion on: ``Bootstrap methods for dependent data: a review
This page was built for publication: Variance estimation for integrated population models