Matches in SemOpenAlex for { <https://semopenalex.org/work/W2087301614> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2087301614 endingPage "1300" @default.
- W2087301614 startingPage "1282" @default.
- W2087301614 abstract "We propose a new robust regression estimator using data partition technique and M estimation (DPM). The data partition technique is designed to define a small fixed number of subsets of the partitioned data set and to produce corresponding ordinary least square (OLS) fits in each subset, contrary to the resampling technique of existing robust estimators such as the least trimmed squares estimator. The proposed estimator shares a common strategy with the median ball algorithm estimator that is obtained from the OLS trial fits only on a fixed number of subsets of the data. We examine performance of the DPM estimator in the eleven challenging data sets and simulation studies. We also compare the DPM with the five commonly used robust estimators using empirical convergence rates relative to the OLS for clean data, robustness through mean squared error and bias, masking and swamping probabilities, the ability of detecting the known outliers, and the regression and affine equivariances." @default.
- W2087301614 created "2016-06-24" @default.
- W2087301614 creator A5040804646 @default.
- W2087301614 creator A5058915727 @default.
- W2087301614 creator A5069546528 @default.
- W2087301614 date "2012-09-01" @default.
- W2087301614 modified "2023-09-28" @default.
- W2087301614 title "Robust Regression Using Data Partitioning and M-Estimation" @default.
- W2087301614 cites W1989898472 @default.
- W2087301614 cites W1997258346 @default.
- W2087301614 cites W2006304286 @default.
- W2087301614 cites W2011627547 @default.
- W2087301614 cites W2012836768 @default.
- W2087301614 cites W2039111546 @default.
- W2087301614 cites W2060731933 @default.
- W2087301614 cites W2065914419 @default.
- W2087301614 cites W2124493177 @default.
- W2087301614 cites W2152701363 @default.
- W2087301614 cites W2498631646 @default.
- W2087301614 cites W36711357 @default.
- W2087301614 cites W4255230573 @default.
- W2087301614 doi "https://doi.org/10.1080/03610918.2011.598994" @default.
- W2087301614 hasPublicationYear "2012" @default.
- W2087301614 type Work @default.
- W2087301614 sameAs 2087301614 @default.
- W2087301614 citedByCount "6" @default.
- W2087301614 countsByYear W20873016142013 @default.
- W2087301614 countsByYear W20873016142014 @default.
- W2087301614 countsByYear W20873016142016 @default.
- W2087301614 countsByYear W20873016142018 @default.
- W2087301614 countsByYear W20873016142020 @default.
- W2087301614 crossrefType "journal-article" @default.
- W2087301614 hasAuthorship W2087301614A5040804646 @default.
- W2087301614 hasAuthorship W2087301614A5058915727 @default.
- W2087301614 hasAuthorship W2087301614A5069546528 @default.
- W2087301614 hasConcept C104317684 @default.
- W2087301614 hasConcept C105795698 @default.
- W2087301614 hasConcept C139945424 @default.
- W2087301614 hasConcept C150921843 @default.
- W2087301614 hasConcept C185429906 @default.
- W2087301614 hasConcept C185592680 @default.
- W2087301614 hasConcept C188649462 @default.
- W2087301614 hasConcept C25294789 @default.
- W2087301614 hasConcept C33923547 @default.
- W2087301614 hasConcept C55493867 @default.
- W2087301614 hasConcept C63479239 @default.
- W2087301614 hasConcept C67226441 @default.
- W2087301614 hasConcept C70259352 @default.
- W2087301614 hasConcept C79337645 @default.
- W2087301614 hasConcept C83546350 @default.
- W2087301614 hasConcept C99656134 @default.
- W2087301614 hasConceptScore W2087301614C104317684 @default.
- W2087301614 hasConceptScore W2087301614C105795698 @default.
- W2087301614 hasConceptScore W2087301614C139945424 @default.
- W2087301614 hasConceptScore W2087301614C150921843 @default.
- W2087301614 hasConceptScore W2087301614C185429906 @default.
- W2087301614 hasConceptScore W2087301614C185592680 @default.
- W2087301614 hasConceptScore W2087301614C188649462 @default.
- W2087301614 hasConceptScore W2087301614C25294789 @default.
- W2087301614 hasConceptScore W2087301614C33923547 @default.
- W2087301614 hasConceptScore W2087301614C55493867 @default.
- W2087301614 hasConceptScore W2087301614C63479239 @default.
- W2087301614 hasConceptScore W2087301614C67226441 @default.
- W2087301614 hasConceptScore W2087301614C70259352 @default.
- W2087301614 hasConceptScore W2087301614C79337645 @default.
- W2087301614 hasConceptScore W2087301614C83546350 @default.
- W2087301614 hasConceptScore W2087301614C99656134 @default.
- W2087301614 hasIssue "8" @default.
- W2087301614 hasLocation W20873016141 @default.
- W2087301614 hasOpenAccess W2087301614 @default.
- W2087301614 hasPrimaryLocation W20873016141 @default.
- W2087301614 hasRelatedWork W1481880820 @default.
- W2087301614 hasRelatedWork W1551533692 @default.
- W2087301614 hasRelatedWork W1832695073 @default.
- W2087301614 hasRelatedWork W2012115149 @default.
- W2087301614 hasRelatedWork W2087301614 @default.
- W2087301614 hasRelatedWork W2135642348 @default.
- W2087301614 hasRelatedWork W3007347008 @default.
- W2087301614 hasRelatedWork W3152627825 @default.
- W2087301614 hasRelatedWork W3207789682 @default.
- W2087301614 hasRelatedWork W3122354074 @default.
- W2087301614 hasVolume "41" @default.
- W2087301614 isParatext "false" @default.
- W2087301614 isRetracted "false" @default.
- W2087301614 magId "2087301614" @default.
- W2087301614 workType "article" @default.