How to write a scientific paper in fifteen steps. [PDF]
Drake JM, Han BA.
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Long-term data reveal fitness costs of anthropogenic prey depletion for a subordinate competitor, the African wild dog (Lycaon pictus). [PDF]
Reyes de Merkle J +7 more
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Relationship between wintering site and survival in a migratory waterbird using different migration routes. [PDF]
Ferreira HRS +3 more
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Field experiments on the effects of fire on parasite transmission to amphibian hosts. [PDF]
Ortega N +6 more
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Effects of ophidiomycosis on movement, survival, and reproduction of eastern foxsnakes (Pantherophis vulpinus). [PDF]
Dillon RM +6 more
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Identifying the demographic pathways linking environmental covariates to population dynamics in an avian migrant. [PDF]
Martin EC +4 more
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Continuous, individual, time-dependent covariates in the Cormack-Jolly-Seber model
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The Jolly-Seber Model with Tag Loss
Biometrics, 2006Summary Tag loss in mark‐recapture experiments is a violation of one of the Jolly–Seber model assumptions. It causes bias in parameter estimates and has only been dealt with in an ad hoc manner. We develop methodology to estimate tag retention and abundance in double‐tagging mark‐recapture experiments.
Cowen, Laura, Schwarz, Carl J.
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The Jolly-seber model: More than just abundance
Journal of Agricultural, Biological, and Environmental Statistics, 2001The Jolly-Seber model provides estimates of abundance, survival, and capture rates from capture-recapture experiments. This article will describe recent extensions to the following cases: (a) multiple-cohort studies where recruitment rates are compared among cohorts, (b) age-specific breeding proportions, and (c) population growth rates.
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Open Capture‐Recapture Models with Heterogeneity: I. Cormack‐Jolly‐Seber Model
Biometrics, 2003Summary. In open population capture‐recapture studies, it is usually assumed that similar animals (e.g., of the same sex and age group) have similar survival rates and capture probabilities. These assumptions are generally perceived to be an oversimplification, and they can lead to incorrect model selection and biased parameter estimates. Allowing for
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