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  1. Journal of Agricultural, Biological, and Environmental Statistics
  2. Journal of Agricultural, Biological, and Environmental Statistics : Volume 19
  3. Journal of Agricultural, Biological, and Environmental Statistics : Volume 19, Issue 3, September 2014
  4. Diagnostic Goodness-of-Fit Tests for Joint Recapture and Recovery Models
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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 19, Issue 4, December 2014
Journal of Agricultural, Biological, and Environmental Statistics : Volume 19, Issue 3, September 2014
Estimation and Testing of Gene Expression Heterosis
Diagnostic Goodness-of-Fit Tests for Joint Recapture and Recovery Models
Kernel Intensity Estimation of 2-Dimensional Spatial Poisson Point Processes From k-Tree Sampling
Ordinary Least Squares Regression of Ordered Categorical Data: Inferential Implications for Practice
Journal of Agricultural, Biological, and Environmental Statistics : Volume 19, Issue 2, June 2014
Journal of Agricultural, Biological, and Environmental Statistics : Volume 19, Issue 1, March 2014
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 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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Diagnostic Goodness-of-Fit Tests for Joint Recapture and Recovery Models

Content Provider Springer Nature Link
Author McCrea, R. S. Morgan, B. J. T. Pradel, R.
Copyright Year 2014
Abstract Diagnostic goodness-of-fit tests for capture–recapture models are routinely used prior to model fitting and analysis. However, when data include a mixture of live recaptures and dead recoveries, it is frequently standard practice for the information from recoveries not to be used, so that tests are applied to the recapture data alone. We present new diagnostic tests for joint recapture–recovery data, which make full use of all of the data, and evaluate their power through simulation. The importance of including all available data is clearly shown. We see in addition that current procedures may fail to identify the correct model. The work is generalised to the case of multi-site joint recapture–recovery data and is illustrated on a data set of great cormorants. This article has supplementary material online.
Starting Page 338
Ending Page 356
Page Count 19
File Format PDF
ISSN 10857117
Journal Journal of Agricultural, Biological, and Environmental Statistics
Volume Number 19
Issue Number 3
e-ISSN 15372693
Language English
Publisher Springer US
Publisher Date 2014-05-08
Publisher Place Boston
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Contingency tables Great cormorants Multi-site models Parameter redundancy Permanent emigration Transience Trap-effects Statistics for Life Sciences, Medicine, Health Sciences Agriculture Environmental Monitoring/Analysis Biostatistics
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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