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Missing data

Known as: MCAR, Missingness, Missing at random 
In statistics, missing data, or missing values, occur when no data value is stored for the variable in an observation. Missing data are a common… 
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Related topics

Related topics

6 relations
Censoring (statistics)Data miningInterpolationMarkov chain

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Refining non-taxonomic relation labels with external structured data to support ontology learning
Highly Cited
2008
Highly Cited
2008
Sampling for Approximate Inference in Continuous Time Bayesian Networks
We rst present a sampling algorithm for continuous time Bayesian networks based on importance sampling. We then extend it to… 
Highly Cited
2007
Highly Cited
2007
A new imputation method for small software project data sets
Highly Cited
2007
Highly Cited
2007
Rough set-based logics for multicriteria decision analysis
Highly Cited
2005
Highly Cited
2005
Comments on “Evidence for global runoff increase related to climate warming” by Labat et al.
Highly Cited
2004
Highly Cited
2004
LS-SCTP: a bandwidth aggregation technique for stream control transmission protocol
Highly Cited
2004
Highly Cited
2004
Influence analyses of nonlinear mixed-effects models
Highly Cited
2001
Highly Cited
2001
Accounting for Cross-National Differences in Infant Mortality Decline (1965–1991) among less Developed Countries: Effects of Women's Status, Economic Dependency, and State Strength
The present study tests models derived from four theoretical perspectives: Modernization/free trade theory, gender inequality… 
Highly Cited
2001
Highly Cited
2001
Explaining groundwater hydrographs: separating atypical rainfall events from time trends
By 1994, an estimated 1.8 million hectares of cleared land in Western Australia was affected by secondary dryland salinity to… 
Highly Cited
1991
Highly Cited
1991
Removal of F1 baseline distortion and optimization of folding in multidimensional NMR spectra
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