Buscar
Mostrando ítems 1-10 de 426
The impact of missing data on real morphological phylogenies: Influence of the number and distribution of missing entries
(Wiley Blackwell Publishing, Inc, 2010-06)
Here we explore the effect of missing data in phylogenetic analyses using a large number of real morphological matrices. Different percentages and patterns of missing entries were added to each matrix, and their influence ...
Estimation of Spatial Lag Model Under Random Missing Data in the Dependent Variable. Two Stage Estimator with Imputation
(Pontificia Universidad Católica del Perú, 2021)
Biases with the generalized euclidean distance measure in disparity analyses with high levels of missing data
(Wiley Blackwell Publishing, Inc, 2019-05)
The Generalized Euclidean Distance (GED) measure has been extensively used to conduct morphological disparity analyses based on palaeontological matrices of discrete characters. This is in part because some implementations ...
Robust doubly protected estimators for quantiles with missing data
(Springer, 2020-09)
Doubly protected methods are widely used for estimating the population mean of an outcome Y from a sample where the response is missing in some individuals. To compensate for the missing responses, a vector X of covariates ...
Estimation of Spatial Lag Model Under Random Missing Data in the Dependent Variable. Two Stage Estimator with Imputation
(Pontificia Universidad Católica del PerúPE, 2022)
Estimation of Spatial Lag Model Under Random Missing Data in the Dependent Variable. Two Stage Estimator with Imputation
(Pontificia Universidad Católica del Perú. Fondo EditorialPE, 2021)
Self-Organizing Maps for Imputation of Missing Data in Incomplete Data Matrices
(Elsevier Science Bv, 2015)
Dealing with Missing Data using a Selection Algorithm on Rough Sets
(ATLANTIS PRESS, 2018-01-01)
This paper discusses the so-called missing data problem, i.e. the problem of imputing missing values in information systems. A new algorithm, called the ARSI algorithm, is proposed to address the imputation problem of ...
Missing observations in stochastic difference equation with arma errorsMissing observations in stochastic difference equation with arma errors
(Sociedade Brasileira de Econometria, 1987)
Robust estimation of multivariate location and scatter in the presence of missing data
(American Statistical Association, 2012-09)
Two main issues regarding data quality are data contamination (outliers) and data completion (missing data). These two problems have attracted much attention and research but surprisingly, they are seldom considered together. ...