Many zeros does not mean zero inflation: comparing the goodness-of-fit of parametric models to multivariate abundance data
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Generalized additive models used to predict species abundance in the Gulf of Mexico: an ecosystem modeling toolModelling heterogeneity in malaria transmission using large sparse spatio-temporal entomological data.Ecotoxicology is not normal: A comparison of statistical approaches for analysis of count and proportion data in ecotoxicology.Assessment and Selection of Competing Models for Zero-Inflated Microbiome Data.Comparison of hierarchical Bayesian models for overdispersed count data using DIC and Bayes' factors.A probabilistic framework to improve microrna target prediction by incorporating proteomics data.16S rRNA Amplicon Sequencing Demonstrates that Indoor-Reared Bumblebees (Bombus terrestris) Harbor a Core Subset of Bacteria Normally Associated with the Wild Host.Applying Multivariate Discrete Distributions to Genetically Informative Count DataLong-term stability of Sphyrion lumpi abundance in beaked redfish Sebastes mentella of the Irminger Sea and its use as biological marker.Son Preference and Children's Housework: The Case of India.The spatial structure of hunter access determines the local abundance of forest elephants (Loxodonta africana cyclotis).Vegetation responses to the first 20 years of cattle grazing in an Australian desert.Edge effects in the primate community of the biological dynamics of Forest Fragments Project, Amazonas, Brazil.To mix or not to mix: comparing the predictive performance of mixture models vs. separate species distribution models.Effect of Simulated Climate Warming on the Ectomycorrhizal Fungal Community of Boreal and Temperate Host Species Growing Near Their Shared Ecotonal Range Limits.Risk factor selection in rate making: EM adaptive LASSO for zero-inflated poisson regression models.Zero tolerance ecology: improving ecological inference by modelling the source of zero observations.Removal of an apex predator initiates a trophic cascade that extends from herbivores to vegetation and the soil nutrient pool.Incorporating the intraspecific occupancy-abundance relationship into zero-inflated models.Generalized Linear Latent Variable Models for Multivariate Count and Biomass Data in EcologyThree points to consider when choosing a LM or GLM test for count dataDistance-based multivariate analyses confound location and dispersion effectsCompositional analysis of overdispersed counts using generalized estimating equationsA metacommunity-scale comparison of species-abundance distribution models for plant communities of eastern AustraliaDistribution, abundance, and feeding ecology of baleen whales in Icelandic waters: have recent environmental changes had an effect?Fourth-corner correlation is a score test statistic in a log-linear trait–environment model that is useful in permutation testingTopics in constrained and unconstrained ordination
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P2860
Many zeros does not mean zero inflation: comparing the goodness-of-fit of parametric models to multivariate abundance data
description
article
@en
wetenschappelijk artikel
@nl
наукова стаття, опублікована у 2005
@uk
name
Many zeros does not mean zero ...... to multivariate abundance data
@en
Many zeros does not mean zero ...... to multivariate abundance data
@nl
type
label
Many zeros does not mean zero ...... to multivariate abundance data
@en
Many zeros does not mean zero ...... to multivariate abundance data
@nl
prefLabel
Many zeros does not mean zero ...... to multivariate abundance data
@en
Many zeros does not mean zero ...... to multivariate abundance data
@nl
P356
P1433
P1476
Many zeros does not mean zero ...... to multivariate abundance data
@en
P2093
David I. Warton
P304
P356
10.1002/ENV.702
P577
2005-01-01T00:00:00Z