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Improved feasible solution algorithms for high breakdown estimation
Douglas M Hawkins, David J. Olive
Statistics (Twin Cities)
Research output
:
Contribution to journal
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Article
›
peer-review
62
Scopus citations
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Dive into the research topics of 'Improved feasible solution algorithms for high breakdown estimation'. Together they form a unique fingerprint.
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Keyphrases
Feasible Solution
100%
Solution Algorithm
100%
High Breakdown
100%
Minimum Covariance Determinant
66%
Least Trimmed Squares
66%
Minimum Volume Ellipsoid
66%
Performance Improvement
33%
First Author
33%
Multiple Linear Regression
33%
Regression Problem
33%
Vector Matrix
33%
Scattering Matrix
33%
Excellent Performance
33%
Position Vector
33%
Multivariate Data
33%
Computational Problems
33%
Paper Point
33%
Least Median of Squares
33%
Feasibility Conditions
33%
Linear Estimation
33%
Multivariate Location
33%
Breakdown Criteria
33%
Mathematics
Feasible Solution
100%
Covariance
100%
Matrix
50%
Outlier
50%
Multivariate Data
50%
Computational Problem
50%
Feasibility Condition
50%
Median
50%
Multiple Linear Regression
50%
Application Area
50%
Engineering
Solution Algorithm
100%
Feasible Solution
100%
Covariance Determinant
100%
Minimum Volume Ellipsoid
100%
Application Area
50%
Scatter Matrix
50%