| LDR | | 01561nam u200373 4500 |
| 001 | | 000000422315 |
| 005 | | 20190215170028 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438039421 |
| 035 | |
▼a (MiAaPQ)AAI10828076 |
| 035 | |
▼a (MiAaPQ)grad.msu:16136 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 310 |
| 100 | 1 |
▼a Zhang, Yi-Chen. |
| 245 | 10 |
▼a Functional Data Analysis With Application to Traffic Flow Data. |
| 260 | |
▼a [S.l.]:
▼b Michigan State University.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 142 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B. |
| 500 | |
▼a Adviser: Lyudmila Sakhanenko. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Michigan State University, 2018. |
| 520 | |
▼a 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 |
| 590 | |
▼a School code: 0128. |
| 650 | 4 |
▼a Statistics. |
| 690 | |
▼a 0463 |
| 710 | 20 |
▼a Michigan State University.
▼b Statistics - Doctor of Philosophy. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-11B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0128 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999113
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |