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Transformations and Bayesian Estimation of Skewed and Heavy-Tailed Densities
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Bean, Andrew. |
| 단체저자명 | The Ohio State University. Statistics. |
| 서명/저자사항 | Transformations and Bayesian Estimation of Skewed and Heavy-Tailed Densities. |
| 발행사항 | [S.l.] : The Ohio State University., 2017 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2017 |
| 형태사항 | 162 p. |
| 소장본 주기 | School code: 0168. |
| ISBN | 9780438099111 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Advisers: Xinyi Xu |
| 요약 | In data analysis applications characterized by large and possibly irregular data sets, nonparametric statistical techniques aim to ensure that, as the sample size grows, all unusual features of the data generating process can be captured. Good l |
| 요약 | This dissertation studies the Bayesian approach to the classic problem of nonparametric density estimation, in the presence of specific irregularities such as heavy tails and skew. The problem of estimating an unknown probability density is reco |
| 일반주제명 | Statistics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-11B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15000345 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00025031 | DP 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
|
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