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  1. Journal of Agricultural, Biological, and Environmental Statistics
  2. Journal of Agricultural, Biological, and Environmental Statistics : Volume 10
  3. Journal of Agricultural, Biological, and Environmental Statistics : Volume 10, Issue 2, June 2005
  4. Efficient profile-likelihood confidence intervals for capture-recapture 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 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 10, Issue 4, December 2005
Journal of Agricultural, Biological, and Environmental Statistics : Volume 10, Issue 3, September 2005
Journal of Agricultural, Biological, and Environmental Statistics : Volume 10, Issue 2, June 2005
Evaluating the relationship between ecological and habitat conditions using hierarchical models
Analyzing highly variable potency data using a linear mixed-effects measurement error model
Models for microbiological colony counts
Dynamic manganese-enhanced MRI signal intensity processing based on nonlinear mixed modeling to study changes in neuronal activity
Efficient profile-likelihood confidence intervals for capture-recapture models
Changepoint alternatives to the NOAEL
Modeling spatial-temporal binary data using Markov random fields
Species associations: the Kendall coefficient of concordance revisited
A new variance estimator for parameters of semiparametric generalized additive models
Journal of Agricultural, Biological, and Environmental Statistics : Volume 10, Issue 1, March 2005
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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Efficient profile-likelihood confidence intervals for capture-recapture models

Content Provider Springer Nature Link
Author Gimenez, Olivier Choquet, Rémi Lamor, Laurent Scofield, Paul Fletcher, David Lebreton, Jean Dominique Pradel, Roger
Copyright Year 2005
Abstract In a capture-recapture analysis, uncertainty in the parameter estimates is usually expressed by presenting classical Wald-type confidence intervals. This approach involves (1) the assumption that the maximum likelihood estimates are asymptotically normal and (2) numerical computation of the variance-covariance matrix of these estimates. When the sample size is small or when the estimates are on the boundary of their domain, a Wald confidence interval often performs badly. A natural alternative is to use profile-likelihood confidence intervals. In general, these intervals require a greater amount of computation. We propose a new implementation of this approach that is efficient, both in reducing the amount of computation and in coping with boundary estimates. We also show how profile-likelihood confidence intervals can be adjusted for overdispersion. Simulations were used to check whether nominal coverage levels were attained, and allowed us to compare this approach with the classical Wald procedure. We illustrate this work by considering a multi-state model for a sooty shearwater (Puffinus griseus) population.
Starting Page 184
Ending Page 196
Page Count 13
File Format PDF
ISSN 10857117
Journal Journal of Agricultural, Biological, and Environmental Statistics
Volume Number 10
Issue Number 2
e-ISSN 15372693
Language English
Publisher Springer-Verlag
Publisher Date 2005-01-01
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Boundary estimate Multi-state model Nominal coverage level Overdispersion Profile-likelihood interval Venzon and Moolgavkar’s algorithm 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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