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Irregular Spaced Data, Spatio-temporal Modeling and Clustering of Time Series
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Deb, Soudeep. |
| 단체저자명 | The University of Chicago. Statistics. |
| 서명/저자사항 | Irregular Spaced Data, Spatio-temporal Modeling and Clustering of Time Series. |
| 발행사항 | [S.l.] : The University of Chicago., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 110 p. |
| 소장본 주기 | School code: 0330. |
| ISBN | 9780438370968 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Wei Biao Wu. |
| 요약 | In this thesis, three different problems in time series and random field have been discussed. First, for a general class of stationary random fields, we study the asymptotic properties of different parametric and nonparametric spectral density e |
| 요약 | The second problem revolves around developing a spatio-temporal model with space-time interaction for air pollution data (PM2.5), which enables one to provide forecasts and insights about the air quality. The proposed model uses a parametric spa |
| 요약 | The third problem in the thesis deals with a time series clustering problem. Using L2 distance between nonparametric spectral density estimates, a hierarchical clustering algorithm has been developed. Simulation studies show that the power of th |
| 일반주제명 | Statistics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International80-01B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14999759 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00025606 | DP 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
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