Logistic Regression in Capture-Recapture Models
From MaRDI portal
Publication:3492716
DOI10.2307/2532083zbMath0709.62100OpenAlexW2327380363WikidataQ68606246 ScholiaQ68606246MaRDI QIDQ3492716
Publication date: 1990
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/2532083
variance estimatorconditional maximum likelihoodpopulation sizecapture-recapturelogistic regression modelconsistentpopulation heterogeneityasymptotically normalfinite-sample propertiesdual registration models
Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)
Related Items (46)
Latent class recapture models with flexible behavioural response ⋮ A Review of the Use of Conditional Likelihood in Capture-Recapture Experiments ⋮ From distance sampling to spatial capture-recapture ⋮ Capture-recapture analysis with a latent class model allowing for local dependence and observed heterogeneity ⋮ A Multiple-Record Systems Estimation Method that Takes Observed and Unobserved Heterogeneity into Account ⋮ A GEE approach for estimating size of hard-to-reach population by using capture–recapture data ⋮ Simultaneous modelling of movement, measurement error, and observer dependence in mark-recapture distance sampling: an application to arctic bird surveys ⋮ Capture-recapture: Before and after EURING 2000 ⋮ The use of auxiliary variables in capture-recapture modelling: An overview ⋮ Discussion comments on: The use of auxiliary variables in capture-recapture modelling. An overview ⋮ Estimating the size of a closed population from a single mark-recapture regime by using a diffusion probability of marked individuals ⋮ Estimating the size of an open population with massive datasets based on a generalized varying-coefficient model ⋮ Maximum likelihood abundance estimation from capture‐recapture data when covariates are missing at random ⋮ Modeling Individual Effects in the Cormack-Jolly-Seber Model: A State-Space Formulation ⋮ Spatially Explicit Maximum Likelihood Methods for Capture-Recapture Studies ⋮ The 2012 census of agriculture: a capture-recapture analysis ⋮ Bayesian dual systems population estimation for small domains ⋮ Implementing the parametric bootstrap in capture--recapture models with continuous co\-vari\-ates. ⋮ Developing integer calibration weights for census of agriculture ⋮ Population estimation using the multiple system estimator in the presence of continuous covariates ⋮ Asymptotics for a population size estimator of a partially uncatchable population ⋮ Focused Information Criterion for Capture–Recapture Models for Closed Populations ⋮ Semiparametric models for capture-recapture studies with covariates ⋮ A latent variable regression model for capture-recapture data ⋮ Estimating population size of heterogeneous populations with large data sets and a large number of parameters ⋮ Hierarchical modeling of cluster size in wildlife surveys ⋮ Bayesian spatial modeling of data from avian point count surveys ⋮ Wildlife Population Assessment: Past Developments and Future Directions ⋮ An algorithm based on discrete response regression models suitable to correct the bias of non-response in surveys with several capture tries ⋮ Likelihood ratio confidence interval for the abundance under binomial detectability models ⋮ Model-based Prediction In Ecological Surveys Including Those with Incomplete Detection ⋮ A general class of recapture models based on the conditional capture probabilities ⋮ Flexible behavioral capture-recapture modeling ⋮ A Class of Latent Markov Models for Capture–Recapture Data Allowing for Time, Heterogeneity, and Behavior Effects ⋮ Analysis of Capture–Recapture Models with Individual Covariates Using Data Augmentation ⋮ Double‐observer line transect surveys with Markov‐modulated Poisson process models for animal availability ⋮ Mixture Models for Estimating the Size of a Closed Population When Capture Rates Vary among Individuals ⋮ Generalized linear models and Capture-Recapture Method in a closed population: strengths and weaknesses ⋮ Approximate estimations in capture–recapture model with heteroscedastic measurement errors ⋮ Applied regression analysis bibliography update 1990-91 ⋮ Transformed Logit Confidence Intervals for Small Populations in Single Capture–Recapture Estimation ⋮ Accommodating Unmodeled Heterogeneity in Double‐Observer Distance Sampling Surveys ⋮ Abundance estimation based on optimal estimating function with missing covariates in capture-recapture studies ⋮ An iterative estimating procedure for probit-type nonresponse models in surveys with call backs ⋮ APPLICATION OF LAPLACE'S BOUNDARY-MODE APPROXIMATIONS TO ESTIMATE SPECIES AND SHARED SPECIES RICHNESS ⋮ Improved inference on capture recapture models with behavioural effects
This page was built for publication: Logistic Regression in Capture-Recapture Models
