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Geo-imputation

Known as: Imputation 
In data analysis involving geographical locations, geo-imputation or geographical imputation methods are steps taken to replace missing values for… 
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Related topics

Related topics

2 relations
Geocoding

Broader (1)

Missing data

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
05-07 5 K-Nearest Neighbor in Missing Data Imputation
We propose a comparative study on single imputation techniques such as Mean, Median, and Standard Deviation combined with k-NN… 
2011
2011
ACCOUNTING FOR CALIBRATION UNCERTAINTIES IN X-RAY ANALYSIS: EFFECTIVE AREAS IN SPECTRAL FITTING
While considerable advance has been made to account for statistical uncertainties in astronomical analyses, systematic… 
Highly Cited
2005
Highly Cited
2005
Changes in the MāOri Income Distribution: Evidence from the Population Census
This paper uses census data to identify the main changes in the individual-level income distribution of working-aged Mâori… 
Review
2003
Review
2003
IMPUTATION OF ITEM-NON-RESPONSE ON INCOME QUESTIONS IN THE SOEP 1984-2002
Opinions expressed in this paper are those of the author and do not necessarily reflect views of the Institute. Abstract: This… 
Review
2003
Review
2003
A Tale of Two Surveys: Household Debt and Financial Constraints in Australia
Over the past decade, household debt (as a share of household income) has reached historically high levels. This has raised… 
2001
2001
Multiple imputation for missing-data problems
2000
2000
The undertaking as subject of E.C. competition law and the imputation of infringements to natural or legal persons
2000
2000
Statistical estimation of unreliable features for robust speech recognition
This paper addresses the problem of robust speech recognition in noisy conditions in the framework of hidden Markov models (HMMs… 
1998
1998
Attrition and Misclassification of Drop-outs in the Analysis of Unemployment Duration
Carling et al (1996) analyze a large data set of unemployed workers in order to examine, inter alia, the effect of unemployment… 
1993
1993
Kernel classification rules from missing data
Nonparametric kernel classification rules derived from incomplete (missing) data are studied. A number of techniques of handling… 
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