Right-censored mixed Poisson count models with detection times

DOI10.1007/S13253-019-00381-3OpenAlexW2983282563WikidataQ126787560 ScholiaQ126787560MaRDI QIDQ782729

Rachel V. Blakey, Wen-Han Hwang, Jakub Stoklosa

Publication date: 28 July 2020

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

Full work available at URL: https://doi.org/10.1007/s13253-019-00381-3

zbMATH Keywords

negative binomial distributionpresence-absence dataaggregation indexzero-truncated and zero-inflated models

Mathematics Subject Classification ID

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

Uses Software

• mvabund
• COUNT

Cites Work

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• Vector generalized linear and additive models. With an implementation in R
• Functional forms for the negative binomial model for count data
• Estimating Abundance from Presence–Absence Maps via a Paired Negative‐Binomial Model
• Estimating negative binomial parameters from occurrence data with detection times
• Negative Binomial Regression
• A Unified Parametric Regression Model for Recapture Studies with Random Removals in Continuous Time
• Mixed Poisson Distributions
• Negative binomial and mixed poisson regression
• Regression Analysis of Count Data
• Point and Interval Estimation of the Population Size Using a Zero‐Truncated Negative Binomial Regression Model

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