DC Field | Value | Language |
---|---|---|
dc.contributor.author | 현지훈 | ko |
dc.contributor.author | 김시원 | ko |
dc.contributor.author | 이성동 | ko |
dc.contributor.author | 변욱재 | ko |
dc.contributor.author | 손미경 | ko |
dc.contributor.author | 김충락 | ko |
dc.date.accessioned | 2013-03-12T15:36:15Z | - |
dc.date.available | 2013-03-12T15:36:15Z | - |
dc.date.created | 2013-01-11 | - |
dc.date.created | 2013-01-11 | - |
dc.date.issued | 2012-02 | - |
dc.identifier.citation | 응용통계연구, v.25, no.1, pp.197 - 203 | - |
dc.identifier.issn | 1225-066X | - |
dc.identifier.uri | http://hdl.handle.net/10203/102749 | - |
dc.description.abstract | In fitting a regression model, we often encounter data sets which do not follow Gaussian distribution and/or do not have equal variance. In this case estimation of the conditional density of a response variable at a given design point is hardly solved by a standard least squares method. To solve this problem, we propose a simple method to estimate the distribution of the fitted vales under heteroscedasticity using the idea of quantile regression and the histogram techniques. Application of this method to a real data sets is given. | - |
dc.language | Korean | - |
dc.publisher | 한국통계학회 | - |
dc.title | Pointwise Estimation of Density of Heteroscedastistic Response in Regression | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 25 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 197 | - |
dc.citation.endingpage | 203 | - |
dc.citation.publicationname | 응용통계연구 | - |
dc.identifier.kciid | ART001635978 | - |
dc.contributor.localauthor | 현지훈 | - |
dc.contributor.nonIdAuthor | 김시원 | - |
dc.contributor.nonIdAuthor | 이성동 | - |
dc.contributor.nonIdAuthor | 변욱재 | - |
dc.contributor.nonIdAuthor | 손미경 | - |
dc.contributor.nonIdAuthor | 김충락 | - |
dc.subject.keywordAuthor | Conditional distribution function | - |
dc.subject.keywordAuthor | heteroscedasticity | - |
dc.subject.keywordAuthor | histogram | - |
dc.subject.keywordAuthor | quantile regression. | - |
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