scientific article

From MaRDI portal
Publication:2789190

zbMath1331.92001MaRDI QIDQ2789190

Byron J. T. Morgan, Rachel S. McCrea

Publication date: 26 February 2016

Full work available at URL: http://www.crcnetbase.com/isbn/9781439836606

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.



Related Items (26)

Bringing it all together: multi-species integrated population modelling of a breeding communityVariance estimation for integrated population modelsEstimating the size of undetected cases of the COVID-19 outbreak in Europe: an upper bound estimatorCapture-recapture abundance estimation using a semi-complete data likelihood approachESTIMATING THE RATE OF DEFECTS UNDER IMPERFECT SAMPLING INSPECTION—A NEW APPROACHA test of positive association for detecting heterogeneity in capture for capture-recapture dataPopulation size estimation using zero-truncated Poisson regression with measurement errorEfficient sequential Monte Carlo algorithms for integrated population modelsAnalysing mark-recapture-recovery data in the presence of missing covariate data via multiple imputationUncertainty estimation in heterogeneous capture–recapture count dataWhen ecological individual heterogeneity models and large data collide: an importance sampling approachEstimation of population size when capture probability depends on individual statesA generalised likelihood framework for partially observed capture-recapture-recovery modelsPopulation size estimation and heterogeneity in capture-recapture data: a linear regression estimator based on the Conway-Maxwell-Poisson distributionParameter redundancy and identifiability in hidden Markov modelsHidden Markov models for extended batch dataMaximum penalized likelihood estimation in semiparametric mark-recapture-recovery modelsRatio plot and ratio regression with applications to social and medical sciencesMultivariate state hidden Markov models for mark-recapture dataFlexible behavioral capture-recapture modelingParameter redundancy in discrete state-space and integrated modelsPopulation size estimation based upon zero-truncated, one-inflated and sparse count data. Estimating the number of dice snakes in Graz and flare stars in the PleiadesThe identity of the zero-truncated, one-inflated likelihood and the zero-one-truncated likelihood for general count densities with an application to drink-driving in BritainCorrecting bias in survival probabilities for partially monitored populations via integrated modelsEstimating the size of an open population using sparse capture-recapture dataLaplace approximations for capture-recapture models in the presence of individual heterogeneity


Uses Software






This page was built for publication: