A fast algorithm for the minimum covariance determinant estimator
PJ Rousseeuw, KV Driessen - Technometrics, 1999 - Taylor & Francis
The minimum covariance determinant (MCD) method of Rousseeuw is a highly robust
estimator of multivariate location and scatter. Its objective is to find h observations (out of n) …
estimator of multivariate location and scatter. Its objective is to find h observations (out of n) …
[引用][C] A fast algorithm for the minimum covariance determinant estimator
PJ ROUSSEEUW, K VAN DRIESSEN - Technometrics, 1999 - pascal-francis.inist.fr
A fast algorithm for the minimum covariance determinant estimator CNRS Inist Pascal-Francis
CNRS Pascal and Francis Bibliographic Databases Simple search Advanced search Search by …
CNRS Pascal and Francis Bibliographic Databases Simple search Advanced search Search by …
A fast algorithm for the minimum covariance determinant estimator
PJ Rousseeuw, KV Driessen - Technometrics, 1999 - dl.acm.org
A fast algorithm for the minimum covariance determinant estimator | Technometrics skip to main
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[PDF][PDF] A Fast Algorithm for the Minimum Covariance Determinant Estimator
PJ Rousseeuw, K Van Driessen - Citeseer
The minimum covariance determinant (MCD) method of Rousseeuw (1984) is a highly
robust estimator of multivariate location and scatter. Its objective is to nd h observations (out …
robust estimator of multivariate location and scatter. Its objective is to nd h observations (out …
[引用][C] A fast algorithm for the minimum covariance determinant estimator
PJ Rousseeuw, K Van Driessen - Technometrics, 1999 - search.proquest.com
The minimum covariance determinant (MCD) method of Rousseeuw is a highly robust
estimator of multivariate location and scatter. Its objective is to find h observations (out of n) …
estimator of multivariate location and scatter. Its objective is to find h observations (out of n) …
[引用][C] A fast algorithm for the minimum covariance determinant estimator
P ROUSSEEUW - Technometrics, 1999 - cir.nii.ac.jp
A Fast Algorithm for the Minimum Covariance Determinant Estimator
PJ Rousseeuw, K van Driessen - Technometrics, 1999 - JSTOR
The minimum covariance determinant (MCD) method of Rousseeuw is a highly robust
estimator of multivariate location and scatter. Its objective is to find h observations (out of n) …
estimator of multivariate location and scatter. Its objective is to find h observations (out of n) …
[引用][C] A Fast Algorithm for the Minimum Covariance Determinant Estimator
PJ Rousseeuw, K Van Driessen - Technometrics, 1999 - go.gale.com
[引用][C] A fast algorithm for the minimum covariance determinant estimator
P Rousseeuw, K van Driessen - … : a journal of statistics …, 1999 - repository.uantwerpen.be
A fast algorithm for the minimum covariance determinant estimator - Institutional Repository
University of Antwerp Publication Title A fast algorithm for the minimum covariance …
University of Antwerp Publication Title A fast algorithm for the minimum covariance …
A Fast Algorithm for the Minimum Covariance
D Estimator - TECHNOMETRICS, 1999 - JSTOR
The minimum covariance determinant (MCD) method of Rousseeuw is a highly robust
estimator of multivariate location and scatter. Its objective is to find h observations (out of n) …
estimator of multivariate location and scatter. Its objective is to find h observations (out of n) …