Missing Data Multidimensional Scaling is a multidimensional scaling method that specifically incorporates mechanisms to handle incomplete proximity data by estimating missing entries during the spatial configuration optimization process.
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1.1K
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13
Authors
7
Institutions
Publications per year
2017–2026
0
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7
1–5 of 7
Authors
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- JD
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- WJ
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- JL
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- FB
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- JJJacques J.F. Commandeur
Stichting Wetenschappelijk Onderzoek Verkeersveiligheid, Netherlands
1 publications · 73 citations
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1–5 of 13
Institutions
7
Indiana University
Bloomington, United States
1 h-index
1 publications
94 citations
Universitat de Barcelona
Barcelona, Spain
1 h-index
3 publications
162 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
1 h-index
1 publications
15 citations
Vienna University of Economics and Business
Vienna, Austria
1 h-index
2 publications
346 citations
University of Leeds
Leeds, United Kingdom
1 h-index
1 publications
161 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
2 publications
346 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
1 publications
94 citations
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Venues
- Communication in Statistics- Theory and Methods
1 publications · 161 citations
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- Journal of Statistical Software
JSS · 1 publications · 173 citations
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- Psychometrika
1 publications · 94 citations
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- Applied Psychological Measurement
1 publications · 15 citations
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- American Journal of Political Science
AJPS · 1 publications · 486 citations
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