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Handling missing values in trait data
(Wiley Blackwell Publishing, Inc, 2021-01)
Aim: Trait data are widely used in ecological and evolutionary phylogenetic comparative studies, but often values are not available for all species of interest. Traditionally, researchers have excluded species without data ...
Resistant estimators in Poisson and Gamma models with missing responses and an application to outlier detection
(Elsevier Inc, 2013-02)
When dealing with situations in which the responses are discrete or show some type of asymmetry, the linear model is not appropriate to establish the relation between the responses and the covariates. Generalized linear ...
Distance estimation for mixed continuous and categorical data with missing values
(2018-06-04)
Neste trabalho é proposta uma metodologia para estimar distâncias entre pontos de dados mistos, contínuos e categóricos, contendo dados faltantes. Estimação de distâncias é a base para muitos métodos de regressão/classificação, ...
Abordagem do near miss neonatal no 2005 WHO Global Survey BrazilNeonatal near miss approach in the 2005 WHO Global Survey Brazil
(Sociedade Brasileira de Pediatria, 2010)
Using missing ordinal patterns to detect nonlinearity in time series data
(American Physical Society, 2017-08)
The number of missing ordinal patterns (NMP) is the number of ordinal patterns that do not appear in a series after it has been symbolized using the Bandt and Pompe methodology. In this paper, the NMP is demonstrated as a ...
Improved double-robust estimation in missing data and causal inference models
(Oxford University Press, 2012-06)
Recently proposed double-robust estimators for a population mean from incomplete data and for a finite number of counterfactual means can have much higher efficiency than the usual double-robust estimators under misspecification ...
Predicting missing values with biclustering: A coherence-based approach
(Elsevier Sci LtdOxfordInglaterra, 2013)