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Functional Data Analysis With Application to Traffic Flow Data
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Functional Data Analysis With Application to Traffic Flow Data. |
| 개인저자 | Zhang, Yi-Chen. |
| 단체저자명 | Michigan State University. Statistics - Doctor of Philosophy. |
| 발행사항 | [S.l.]: Michigan State University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 142 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-11B(E). Dissertation Abstract International |
| ISBN | 9780438039421 |
| 학위논문주기 | Thesis (Ph.D.)--Michigan State University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Adviser: Lyudmila Sakhanenko. |
| 요약 | Functional data has become increasingly popular in the recent statistical literature. Considerable attention has been paid to the development of functional data analysis. This thesis consists of four main chapters to address some important quest |
| 일반주제명 | Statistics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
