Matches in SemOpenAlex for { <https://semopenalex.org/work/W1996148734> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W1996148734 endingPage "34" @default.
- W1996148734 startingPage "5" @default.
- W1996148734 abstract "Abstract This paper introduces a semi-parametric method for estimating regression co underlying parent population of errors in censored. The method is an example of the method of sieves; and it provides simultaneous estimates of the regression coefficients and the density of the underlying parent population. In the very simplest terms, the underlying unknown density is approximated by a spline with mesh size approaching zero with the sample size. The values of the density at the knots are then added to the list of the usual unknown parameters in a censored regression model, e.g., the regression coefficients and scale parameter. A quasi-likelihood function using the approximate spline density is then maximized over all the parameters mentioned above. The method is shown to result in strongly consistent parameter estimates." @default.
- W1996148734 created "2016-06-24" @default.
- W1996148734 creator A5084120221 @default.
- W1996148734 date "1986-06-01" @default.
- W1996148734 modified "2023-10-17" @default.
- W1996148734 title "A semi-parametric censored regression estimator" @default.
- W1996148734 cites W2004606300 @default.
- W1996148734 cites W2009060438 @default.
- W1996148734 cites W2049343897 @default.
- W1996148734 cites W2063199553 @default.
- W1996148734 cites W2075583391 @default.
- W1996148734 cites W2089480753 @default.
- W1996148734 cites W2102136336 @default.
- W1996148734 cites W2102236934 @default.
- W1996148734 cites W3126000587 @default.
- W1996148734 cites W4246784033 @default.
- W1996148734 doi "https://doi.org/10.1016/0304-4076(86)90010-2" @default.
- W1996148734 hasPublicationYear "1986" @default.
- W1996148734 type Work @default.
- W1996148734 sameAs 1996148734 @default.
- W1996148734 citedByCount "45" @default.
- W1996148734 countsByYear W19961487342012 @default.
- W1996148734 countsByYear W19961487342021 @default.
- W1996148734 countsByYear W19961487342022 @default.
- W1996148734 crossrefType "journal-article" @default.
- W1996148734 hasAuthorship W1996148734A5084120221 @default.
- W1996148734 hasConcept C105795698 @default.
- W1996148734 hasConcept C117251300 @default.
- W1996148734 hasConcept C120068334 @default.
- W1996148734 hasConcept C149782125 @default.
- W1996148734 hasConcept C152877465 @default.
- W1996148734 hasConcept C185429906 @default.
- W1996148734 hasConcept C33923547 @default.
- W1996148734 hasConcept C83546350 @default.
- W1996148734 hasConcept C90157343 @default.
- W1996148734 hasConcept C97379794 @default.
- W1996148734 hasConceptScore W1996148734C105795698 @default.
- W1996148734 hasConceptScore W1996148734C117251300 @default.
- W1996148734 hasConceptScore W1996148734C120068334 @default.
- W1996148734 hasConceptScore W1996148734C149782125 @default.
- W1996148734 hasConceptScore W1996148734C152877465 @default.
- W1996148734 hasConceptScore W1996148734C185429906 @default.
- W1996148734 hasConceptScore W1996148734C33923547 @default.
- W1996148734 hasConceptScore W1996148734C83546350 @default.
- W1996148734 hasConceptScore W1996148734C90157343 @default.
- W1996148734 hasConceptScore W1996148734C97379794 @default.
- W1996148734 hasIssue "1" @default.
- W1996148734 hasLocation W19961487341 @default.
- W1996148734 hasOpenAccess W1996148734 @default.
- W1996148734 hasPrimaryLocation W19961487341 @default.
- W1996148734 hasRelatedWork W1546133898 @default.
- W1996148734 hasRelatedWork W1903055531 @default.
- W1996148734 hasRelatedWork W1971606787 @default.
- W1996148734 hasRelatedWork W1992354442 @default.
- W1996148734 hasRelatedWork W2072090478 @default.
- W1996148734 hasRelatedWork W2081624876 @default.
- W1996148734 hasRelatedWork W2107985029 @default.
- W1996148734 hasRelatedWork W2744741417 @default.
- W1996148734 hasRelatedWork W3021457118 @default.
- W1996148734 hasRelatedWork W4290879003 @default.
- W1996148734 hasVolume "32" @default.
- W1996148734 isParatext "false" @default.
- W1996148734 isRetracted "false" @default.
- W1996148734 magId "1996148734" @default.
- W1996148734 workType "article" @default.