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Estimation and forecasting of long-memory processes with missing values
(JOHN WILEY & SONS LTD, 1997)
This paper addresses the issues of maximum likelihood estimation and forecasting of a long-memory time series with missing values. A state-space representation of the underlying long-memory process is proposed. By incorporating ...
Missing-value imputation using the robust singular-value decomposition: Proposals and numerical evaluationImputación de valores faltantes usando la descomposición robusta en valores singulares: Propuestas y evaluación numérica
(Crop Science, 26/03/2021)
A common problem in the analysis of data from multi-environment trials is imbalance caused by missing observations. To get around this problem, Yan proposed a method for imputing the missing values based on the singular-value ...
Comparing diagnostic tests with missing data
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2011)
When missing data occur in studies designed to compare the accuracy of diagnostic tests, a common, though naive, practice is to base the comparison of sensitivity, specificity, as well as of positive and negative predictive ...
Bayesian multivariate nonlinear mixed models for censored longitudinal trajectories with non-monotone missing values
(Sringer Heidelberg, 2023)
The analysis of multivariate longitudinal data may often encounter a difficult task, particularly in the presence of censored measurements induced by detection limits and intermittently missing values arising when subjects ...
Anomalous values and missing data in clinical and experimental studiesValores anômalos e dados faltantes em estudos clínicos e experimentais
(2019-01-01)
During analysis of scientific research data, it is customary to encounter anomalous values or missing data. Anomalous values can be the result of errors of recording, typing, measurement by instruments, or may be true ...
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 ...
Household-microenterprise – the missing link in gendered value chain analysis: lessons from an analysis of dairy chains in Nicaragua
(Instituto de Investigación y Desarrollo NITLAPAN – UCA, 2017)
Robust tests in generalized linear models with missing responses
(Elsevier Science Bv, 2013-09)
In many situations, data follow a generalized linear model in which the mean of the responses is modelled, through a link function, linearly on the covariates. Robust estimators for the regression parameter in order to ...
Predicting missing values with biclustering: A coherence-based approach
(Elsevier Sci LtdOxfordInglaterra, 2013)
Fatores associados ao near miss neonatal no BrasilFactors associated with neonatal near miss in Brazil
(USP/Faculdade de Saúde Pública, 2022)