Canadian contributions to environmetrics

DOI10.1002/cjs.11743MaRDI QIDQ6059426

Douglas G. Woolford, Joanna Mills Flemming, Sylvia R. Esterby, A. H. El-Shaarawi, Richard Routledge, C. B. Dean, Francis W. Zwiers, Stephen W. Taylor, James V. Zidek

Publication date: 2 November 2023

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

zbMATH Keywords

environmetricsfisheriesclimatemonitoring networksCanadian contributionsfire science

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Reducing estimation bias in adaptively changing monitoring networks with preferential site selection
• The effects of the risk of fire on the optimal rotation of a forest
• Optimal monitoring network designs
• A characterization of Gumbel's family of extreme value distributions
• Tail dependence functions and vine copulas
• Interpolation with uncertain spatial covariances: A Bayesian alternative to Kriging
• Functional data analysis in ecosystem research: the decline of Oweekeno Lake sockeye salmon and wannock river flow
• A general theory for preferential sampling in environmental networks
• Using prior information in designing intervention detection experiments
• Second-Order Exchangeability Analysis for Multimodel Ensembles
• A General Methodology for the Analysis of Capture-Recapture Experiments in Open Populations
• Stratified Two-Sample Tag-Recovery Census of Closed Populations
• Reconstructing the history of forest fire frequency: Identifying hazard rate change points using the bayes information criterion
• Stratified Capture-Recapture Estimation of the Size of a Closed Population
• A Conditional Approach for Multivariate Extreme Values (with Discussion)
• Modeling Nonstationary Processes Through Dimension Expansion
• Identifiable state‐space models: A case study of the Bay of Fundy sea scallop fishery
• Toward Optimal Fingerprinting in Detection and Attribution of Changes in Climate Extremes
• Wildfire prediction to inform fire management: statistical science challenges
• A Stochastic Model for Forest Fire Growth

This page was built for publication: Canadian contributions to environmetrics