Uncertainty estimation in heterogeneous capture–recapture count data-Reference-Cited by-同舟云学术

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Uncertainty estimation in heterogeneous capture–recapture count data

Published:2017-04-20 Issue:10 Volume:87 Page:2094-2114
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Anan Orasa¹²,Böhning Dankmar¹,Maruotti Antonello³⁴

Affiliation:

1. Southampton Statistical Sciences Research Institute, University of Southampton, Southampton, UK

2. Department of Mathematics and Statistics, Thaksin University, Phatthalung, Thailand

3. Centre for Innovation and Leadership in Health Sciences, University of Southampton, Southampton, UK

4. Dipartimento di Scienze Economiche, Politiche e delle Lingue Moderne, Libera Universitá Maria Ss. Assunta, Roma, Italy

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2017.1315668

Reference37 articles.

1. Heterogeneity and behavioral response in continuous time capture–recapture, with application to street cannabis use in Italy

2. An examination of the effect of heterogeneity on the estimation of population size using capture-recapture data

3. Nonparametric maximum likelihood estimation of population size based on the counting distribution

4. Point and interval estimation of the population size using the truncated Poisson regression model

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. One‐Inflation and Zero‐Truncation Count Data Modelling Revisited With a View on Horvitz–Thompson Estimation of Population Size;International Statistical Review;2024-04-30

2. Deriving a zero-truncated modelling methodology to analyse capture–recapture data from self-reported social networks;METRON;2023-12-19

3. Minimum chi-square method for estimating population size in capture-recapture experiments;PLOS ONE;2023-10-12

4. Modeling COVID-19 Contact-Tracing Using the Ratio Regression Capture–Recapture Approach;Biometrics;2023-02-16

5. Plot Sampling;Statistics for Biology and Health;2023

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