평활된 주기도를 이용한 강수량자료의 군집화
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박만식 | - |
dc.contributor.author | 김희영 | - |
dc.date.accessioned | 2021-09-09T13:36:02Z | - |
dc.date.available | 2021-09-09T13:36:02Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2008 | - |
dc.identifier.issn | 1225-066X | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/124652 | - |
dc.description.abstract | It is well known that spectral density function determines auto-covariance func-tion of stationary time-series data and smoothed periodogram is a consistent estimatorof spectral density function. Recently, Kim and Park (2007) showed that smoothed-periodogram based distances performs very well for the classi¯cation. In this paper, we introduce classi¯cation methods with smoothed periodogram and apply the approaches to the monthly precipitation measurements obtained from January, 1987 through De- cember, 2007 at 22 locations in South Korea. | - |
dc.publisher | 한국통계학회 | - |
dc.title | 평활된 주기도를 이용한 강수량자료의 군집화 | - |
dc.title.alternative | Classification of Precipitation Data Based on Smoothed Periodogram | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 김희영 | - |
dc.identifier.bibliographicCitation | 응용통계연구, v.21, no.3, pp.547 - 560 | - |
dc.relation.isPartOf | 응용통계연구 | - |
dc.citation.title | 응용통계연구 | - |
dc.citation.volume | 21 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 547 | - |
dc.citation.endPage | 560 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001252617 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Periodogram | - |
dc.subject.keywordAuthor | smoothing | - |
dc.subject.keywordAuthor | spectral density | - |
dc.subject.keywordAuthor | clustering | - |
dc.subject.keywordAuthor | precipitation. | - |
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