Results 11 to 20 of about 696,250 (303)

Minimum chi-square method for estimating population size in capture-recapture experiments. [PDF]

PLoS ONE, 2023
Closed population capture-recapture estimation of population size is difficult under heterogeneous capture probabilities. We introduce the minimum chi-square method which can handle multi-occasion capture-recapture data. It complements likelihood methods
Yuyan Zheng, Yongfei Mao, Min Tsao, Laura L E Cowen   +3 more
doaj   +2 more sources

Improving estimates of pertussis burden in Ontario, Canada 2010-2017 by combining validation and capture-recapture methodologies. [PDF]

PLoS ONE, 2023
An underestimation of pertussis burden has impeded understanding of transmission and disallows effective policy and prevention to be prioritized and enacted.
Shilo H McBurney, Jeffrey C Kwong, Kevin A Brown, Frank Rudzicz, Andrew Wilton, Natasha S Crowcroft   +5 more
doaj   +2 more sources

From Capture–Recapture to No Recapture: Efficient SCAD Even After Software Updates [PDF]

Sensors
Side-Channel-based Anomaly Detection (SCAD) offers a powerful and non-intrusive means of detecting unauthorized behavior in IoT and cyber–physical systems.
Kurt A. Vedros, Aleksandar Vakanski, Domenic J. Forte, Constantinos Kolias   +3 more
doaj   +2 more sources

Capture-recapture review

, 2020
A review of the last decade of research in capture ...
Olivier Gimenez (3914297)
openaire   +2 more sources

Spatial Capture–Recapture Models

Statistical Science, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Borchers, David, Fewster, Rachel
openaire   +4 more sources

Efficient estimation of large‐scale spatial capture–recapture models

Ecosphere, 2021
Capture–recapture methods are a common tool in ecological statistics, which have been extended to spatial capture–recapture models for data accompanied by location information.
Daniel Turek, Cyril Milleret, Torbjørn Ergon, Henrik Brøseth, Pierre Dupont, Richard Bischof, Perry deValpine   +6 more
doaj   +2 more sources

Estimating undiagnosed dementia in England using capture recapture techniques [PDF]

BMC Geriatrics
Background To our knowledge capture-recapture techniques have not been used to estimate dementia prevalence using routinely collected data in England, nor have they been used to estimate changes in undiagnosed dementia over time.
Naaheed Mukadam, Louise Marston, Katie Flanagan, Etuini Ma’u, Gary Cheung, Dankmar Böhning   +5 more
doaj   +2 more sources

Rcapture: Loglinear Models for Capture-Recapture in R

Journal of Statistical Software, 2007
This article introduces Rcapture, an R package for capture-recapture experiments. The data for analysis consists of the frequencies of the observable capture histories over the t capture occasions of the experiment. A capture history is a vector of zeros
Sophie Baillargeon, Louis-Paul Rivest
doaj   +1 more source

Using visual encounter data to improve capture–recapture abundance estimates

Ecosphere, 2021
Capture–recapture studies are widely used in ecology to estimate population sizes and demographic rates. In some capture–recapture studies, individuals may be visually encountered but not identified.
Maxwell B. Joseph, Roland A. Knapp
doaj   +1 more source

Abundance estimation for line transect sampling: A comparison of distance sampling and spatial capture-recapture models.

PLoS ONE, 2021
Accurate and precise abundance estimation is vital for informed wildlife conservation and management decision-making. Line transect surveys are a common sampling approach for abundance estimation.
Nathan J Crum, Lisa C Neyman, Timothy A Gowan   +2 more
doaj   +1 more source