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Data from: Penalized likelihood methods improve parameter estimates in occupancy models
负责人:
关键词:
penalized likelihood;boundary estimates;maximum likelihood;summer 2011;occupancy modeling;detection probability;parameter estimation
DOI:
doi:10.5061/dryad.t40f2
摘要:
is popular in the literature, problems can occur when estimating the model parameters. In particular, the maximum likelihood estimates can exhibit bias and lar
Data from: Assessing parameter identifiability in phylogenetic models using Data Cloning
负责人:
关键词:
Data Cloning;Bayesian estimation in Phylogenetics;Parameter Identifiability;maximum likelihood
DOI:
doi:10.5061/dryad.rr6400b4
摘要:
d only of simulation studies, estimation of known phylogenies and difficult mathematical analyses assessing the estimability of parameters. Little practical guidance ha
Data from: Soil hydraulic properties determined by inverse modeling of drip infiltrometer experiments extended with pedotransfer functions
负责人:
关键词:
Soil Hydraulic Parameters
DOI:
doi:10.5061/dryad.7q22r2m
摘要:
range predicted by the developed PTF resulted in a precise estimation of the van Genuchten parameters. Not including the PTF water contents resulte
Data from: Effects of sampling close relatives on some elementary population genetics analyses
负责人:
关键词:
conservation genetics;Population Genetics - Theoretical;quantitative genetics;Ecological Genetics
DOI:
doi:10.5061/dryad.4pv20
摘要:
unbiased and accurate parameter estimates. This study quantifies the effects of ECR on some popular population genetics analyses of marker data, including
Data from: Information criteria for comparing partition schemes
负责人:
关键词:
partition scheme comparison;model comparison;information criteria;multilocus analysis;AIC;AICP;BICP;BIC;phylogenomics
DOI:
doi:10.5061/dryad.qq586
摘要:
e not equally bad. Lumping errors can yield parameter estimates that do not accurately reject any of the subsets that were combined whereas splitting errors yield
Data from: Integrated population models: bias and inference
负责人:
关键词:
integrated population models;Bayesian;parameter estimation;model assumption violation;Heterogeneity
DOI:
doi:10.5061/dryad.fd28113
摘要:
ng model parameters, we simulated stable populations closed to immigration and emigration. We simulated two scenarios that might induce bias into survival estimates
Data from: On the variety of methods for calculating confidence intervals by bootstrapping
负责人:
关键词:
statistics resampling randomisation parameter estimation effect size
DOI:
doi:10.5061/dryad.r390f
摘要:
and parameter estimate. 3. We encourage authors to be more explicit about the method they use (and number of bootstrap resamples used). 4. We recommend the bias correcte
Data from: How reliably can we infer diversity-dependent diversification from phylogenies?
负责人:
关键词:
extinction;Conditioning;Diversity-dependence;Parametric bootstrap;Birth-death model;simulations
DOI:
doi:10.5061/dryad.tg37f
摘要:
has the best statistical properties overall, but caution that parameter estimates may be biased. To assess parameter uncertainty in future studies
Data from: Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance
负责人:
关键词:
Density;occupancy;American marten;distribution;Martes americana
DOI:
doi:10.5061/dryad.4mt00
摘要:
ults indicate existing models that assume that methods independently detect organisms produce biased parameter estimates and substantially understate estimate

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