Bayesian models for analysis of inventory and monitoring data with non-ignorable missingness

DOI10.1007/s13253-021-00473-zOpenAlexW3199464668MaRDI QIDQ2163502

Cheryl McIntyre, Luke J. Zachmann, Dana L. Witwicki, Megan C. Swan, Erin M. Borgman, N. Thompson Hobbs

Publication date: 10 August 2022

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-021-00473-z

zbMATH Keywords

trendmissing dataignorabilitystatusmodel-based inferencelong-term data

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Uses Software

• R
• rjags
• JAGS
• Survey
• BayesDA
• spsurvey
• TrendNPS

Cites Work

• Unnamed Item
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• Struggles with survey weighting and regression modeling
• Fitting regression models to survey data
• Sampling-Based Approaches to Calculating Marginal Densities
• Comparison of Variance Estimators of the Horvitz-Thompson Estimator for Randomized Variable Probability Systematic Sampling
• Ecological Statistics
• Statistics for Spatial Data
• Spatially Balanced Sampling of Natural Resources
• A Generalization of Sampling Without Replacement From a Finite Universe