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  1. Journal of Agricultural, Biological, and Environmental Statistics
  2. Journal of Agricultural, Biological, and Environmental Statistics : Volume 15
  3. Journal of Agricultural, Biological, and Environmental Statistics : Volume 15, Issue 2, June 2010
  4. Improving Estimates of Abundance by Aggregating Sparse Capture-Recapture Data
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Journal of Agricultural, Biological, and Environmental Statistics : Volume 22
Journal of Agricultural, Biological, and Environmental Statistics : Volume 21
Journal of Agricultural, Biological, and Environmental Statistics : Volume 20
Journal of Agricultural, Biological, and Environmental Statistics : Volume 19
Journal of Agricultural, Biological, and Environmental Statistics : Volume 18
Journal of Agricultural, Biological, and Environmental Statistics : Volume 17
Journal of Agricultural, Biological, and Environmental Statistics : Volume 16
Journal of Agricultural, Biological, and Environmental Statistics : Volume 15
Journal of Agricultural, Biological, and Environmental Statistics : Volume 15, Issue 4, December 2010
Journal of Agricultural, Biological, and Environmental Statistics : Volume 15, Issue 3, September 2010
Journal of Agricultural, Biological, and Environmental Statistics : Volume 15, Issue 2, June 2010
A Calibration Experiment in a Longitudinal Survey With Errors-in-Variables
Estimating the Risk of a Crop Epidemic From Coincident Spatio-temporal Processes
A Spatio-Temporal Downscaler for Output From Numerical Models
A Measurement Error Model for Heterogeneous Capture Probabilities in Mark-Recapture Experiments: An Estimating Equation Approach
Spatial Inference of Nitrate Concentrations in Groundwater
Improving Estimates of Abundance by Aggregating Sparse Capture-Recapture Data
Estimating Population Growth Rate From Capture–Recapture Data in Presence of Capture Heterogeneity
Predicting Life-History Traits for Female New Zealand Sea Lions, Phocarctos hookeri: Integrating Short-Term Mark-Recapture Data and Population Modeling
Journal of Agricultural, Biological, and Environmental Statistics : Volume 15, Issue 1, March 2010
Journal of Agricultural, Biological, and Environmental Statistics : Volume 14
Journal of Agricultural, Biological, and Environmental Statistics : Volume 13
Journal of Agricultural, Biological, and Environmental Statistics : Volume 12
Journal of Agricultural, Biological, and Environmental Statistics : Volume 11
Journal of Agricultural, Biological, and Environmental Statistics : Volume 10
Journal of Agricultural, Biological, and Environmental Statistics : Volume 9
Journal of Agricultural, Biological, and Environmental Statistics : Volume 8
Journal of Agricultural, Biological, and Environmental Statistics : Volume 7
Journal of Agricultural, Biological, and Environmental Statistics : Volume 6

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Improving Estimates of Abundance by Aggregating Sparse Capture-Recapture Data

Content Provider Springer Nature Link
Author Litt, Andrea R. Steidl, Robert J.
Copyright Year 2009
Abstract Inferences about abundance often are based on unadjusted counts of individuals observed, in part, because of the large amount of data required to generate reliable estimates of abundance. Where capture-recapture data are sparse, aggregating data across multiple sample elements by pooling species, locations, and sampling periods increases the information available for modeling detection probability, a necessary step for estimating abundance reliably. The process of aggregating sample elements involves balancing trade-offs related to the number of aggregated elements; although larger aggregates increase the amount of information available for estimation, they often require more complex models. We describe a heuristic approach for aggregating data for studies with multiple sample elements, use simulated data to evaluate the efficacy of aggregation, and illustrate the approach using data from a field study. Aggregating data systematically improved reliability of model selection and increased accuracy of abundance estimates while still providing estimates of abundance for each original sample unit, an important benefit necessary to maintain the design and sampling structure of a study. Within the framework of capture-recapture sampling, aggregating data improves estimates of abundance and increases the reliability of subsequent inferences made from sparse data. Additional tables and datasets may be found in the online supplements.
Starting Page 228
Ending Page 247
Page Count 20
File Format PDF
ISSN 10857117
Journal Journal of Agricultural, Biological, and Environmental Statistics
Volume Number 15
Issue Number 2
e-ISSN 15372693
Language English
Publisher Springer-Verlag
Publisher Date 2010-01-28
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Abundance estimation Data aggregation Mark-recapture Program CAPTURE Program MARK Population parameters Biostatistics Environmental Monitoring/Analysis Agriculture Statistics for Life Sciences, Medicine, Health Sciences
Content Type Text
Resource Type Article
Subject Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty
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