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Inconsistency of resampling algorithms for high-breakdown regression estimators and a new algorithm
D. M. Hawkins, D. J. Olive
Statistics (Twin Cities)
Research output
:
Contribution to journal
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Article
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peer-review
62
Scopus citations
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Dive into the research topics of 'Inconsistency of resampling algorithms for high-breakdown regression estimators and a new algorithm'. Together they form a unique fingerprint.
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Mathematics
Inconsistency
65%
Resampling
64%
Breakdown
60%
Estimator
34%
Contamination
34%
Multiple Regression
33%
Outlier
18%
Higher Dimensions
17%
Location Estimation
15%
Regression
14%
Resampling Methods
12%
Multiple Models
12%
Leverage
12%
Approximate Algorithm
12%
Ordinary Least Squares
11%
Percentage
10%
Discrepancy
9%
Regression Model
7%
High-dimensional
7%
Sample Size
7%
Standards
5%
Approximation
4%
Business & Economics
Resampling
100%
Breakdown
54%
Inconsistency
54%
Estimator
45%
Multiple Regression
37%
Contamination
30%
Outliers
25%
Resampling Methods
14%
Sample Size
13%
Ordinary Least Squares
9%
Discrepancy
9%
Regression Model
7%
Approximation
7%
Leverage
7%