FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3215157070> ?p ?o ?g. }

• W3215157070 endingPage "2991" @default.
• W3215157070 startingPage "2991" @default.
• W3215157070 abstract "In the last years, web surveys have established themselves as one of the main methods in empirical research. However, the effect of coverage and selection bias in such surveys has undercut their utility for statistical inference in finite populations. To compensate for these biases, researchers have employed a variety of statistical techniques to adjust nonprobability samples so that they more closely match the population. In this study, we test the potential of the XGBoost algorithm in the most important methods for estimation that integrate data from a probability survey and a nonprobability survey. At the same time, a comparison is made of the effectiveness of these methods for the elimination of biases. The results show that the four proposed estimators based on gradient boosting frameworks can improve survey representativity with respect to other classic prediction methods. The proposed methodology is also used to analyze a real nonprobability survey sample on the social effects of COVID-19." @default.
• W3215157070 created "2021-12-06" @default.
• W3215157070 creator A5004150112 @default.
• W3215157070 creator A5030663830 @default.
• W3215157070 creator A5037354581 @default.
• W3215157070 creator A5069189637 @default.
• W3215157070 date "2021-11-23" @default.
• W3215157070 modified "2023-09-26" @default.
• W3215157070 title "On the Use of Gradient Boosting Methods to Improve the Estimation with Data Obtained with Self-Selection Procedures" @default.
• W3215157070 cites W1435596204 @default.
• W3215157070 cites W1678356000 @default.
• W3215157070 cites W1923316063 @default.
• W3215157070 cites W1973926498 @default.
• W3215157070 cites W1996144317 @default.
• W3215157070 cites W1999822211 @default.
• W3215157070 cites W2006968752 @default.
• W3215157070 cites W2017253904 @default.
• W3215157070 cites W2019293164 @default.
• W3215157070 cites W2024046085 @default.
• W3215157070 cites W2028040032 @default.
• W3215157070 cites W2032562260 @default.
• W3215157070 cites W2048470090 @default.
• W3215157070 cites W2060316606 @default.
• W3215157070 cites W2078117364 @default.
• W3215157070 cites W2120481139 @default.
• W3215157070 cites W2129786731 @default.
• W3215157070 cites W2150291618 @default.
• W3215157070 cites W2213612645 @default.
• W3215157070 cites W2612145410 @default.
• W3215157070 cites W2801917756 @default.
• W3215157070 cites W2898001576 @default.
• W3215157070 cites W2903162933 @default.
• W3215157070 cites W2912189763 @default.
• W3215157070 cites W2936647760 @default.
• W3215157070 cites W2963677002 @default.
• W3215157070 cites W2980548856 @default.
• W3215157070 cites W3016418892 @default.
• W3215157070 cites W3017850173 @default.
• W3215157070 cites W3030530760 @default.
• W3215157070 cites W3032536009 @default.
• W3215157070 cites W3092048136 @default.
• W3215157070 cites W3103776070 @default.
• W3215157070 cites W3106770771 @default.
• W3215157070 cites W3122989580 @default.
• W3215157070 cites W3141232563 @default.
• W3215157070 doi "https://doi.org/10.3390/math9232991" @default.
• W3215157070 hasPublicationYear "2021" @default.
• W3215157070 type Work @default.
• W3215157070 sameAs 3215157070 @default.
• W3215157070 citedByCount "5" @default.
• W3215157070 countsByYear W32151570702022 @default.
• W3215157070 countsByYear W32151570702023 @default.
• W3215157070 crossrefType "journal-article" @default.
• W3215157070 hasAuthorship W3215157070A5004150112 @default.
• W3215157070 hasAuthorship W3215157070A5030663830 @default.
• W3215157070 hasAuthorship W3215157070A5037354581 @default.
• W3215157070 hasAuthorship W3215157070A5069189637 @default.
• W3215157070 hasBestOaLocation W32151570701 @default.
• W3215157070 hasConcept C105795698 @default.
• W3215157070 hasConcept C119857082 @default.
• W3215157070 hasConcept C124101348 @default.
• W3215157070 hasConcept C134261354 @default.
• W3215157070 hasConcept C144024400 @default.
• W3215157070 hasConcept C149782125 @default.
• W3215157070 hasConcept C149923435 @default.
• W3215157070 hasConcept C185429906 @default.
• W3215157070 hasConcept C2908647359 @default.
• W3215157070 hasConcept C33923547 @default.
• W3215157070 hasConcept C41008148 @default.
• W3215157070 hasConcept C46686674 @default.
• W3215157070 hasConcept C81917197 @default.
• W3215157070 hasConceptScore W3215157070C105795698 @default.
• W3215157070 hasConceptScore W3215157070C119857082 @default.
• W3215157070 hasConceptScore W3215157070C124101348 @default.
• W3215157070 hasConceptScore W3215157070C134261354 @default.
• W3215157070 hasConceptScore W3215157070C144024400 @default.
• W3215157070 hasConceptScore W3215157070C149782125 @default.
• W3215157070 hasConceptScore W3215157070C149923435 @default.
• W3215157070 hasConceptScore W3215157070C185429906 @default.
• W3215157070 hasConceptScore W3215157070C2908647359 @default.
• W3215157070 hasConceptScore W3215157070C33923547 @default.
• W3215157070 hasConceptScore W3215157070C41008148 @default.
• W3215157070 hasConceptScore W3215157070C46686674 @default.
• W3215157070 hasConceptScore W3215157070C81917197 @default.
• W3215157070 hasFunder F4320322930 @default.
• W3215157070 hasIssue "23" @default.
• W3215157070 hasLocation W32151570701 @default.
• W3215157070 hasLocation W32151570702 @default.
• W3215157070 hasLocation W32151570703 @default.
• W3215157070 hasOpenAccess W3215157070 @default.
• W3215157070 hasPrimaryLocation W32151570701 @default.
• W3215157070 hasRelatedWork W2022304750 @default.
• W3215157070 hasRelatedWork W2169901951 @default.
• W3215157070 hasRelatedWork W2183769715 @default.
• W3215157070 hasRelatedWork W2276853173 @default.
• W3215157070 hasRelatedWork W2735181364 @default.
• W3215157070 hasRelatedWork W2909479993 @default.
• W3215157070 hasRelatedWork W2949919985 @default.

• next