| LDR | | 01486nmm uu200373 4500 |
| 001 | | 000000333352 |
| 005 | | 20240805172852 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438078642 |
| 035 | |
▼a (MiAaPQ)AAI10816563 |
| 035 | |
▼a (MiAaPQ)ucsd:17419 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 510 |
| 100 | 1 |
▼a Xu, Yue. |
| 245 | 10 |
▼a Statistical and Computational Methods for Analyzing Accelerometer Data. |
| 260 | |
▼a [S.l.] :
▼b University of California, San Diego.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 126 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B. |
| 500 | |
▼a Advisers: Loki Natarajan |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, San Diego, 2018. |
| 520 | |
▼a Advances in technology have resulted in the use of sensors in a great variety of applications ranging from weather forecasting, GPS tracking to physical activity measurement. Novel analytic techniques are being developed to study these densely s |
| 590 | |
▼a School code: 0033. |
| 650 | 4 |
▼a Mathematics. |
| 690 | |
▼a 0405 |
| 710 | 20 |
▼a University of California, San Diego.
▼b Mathematics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-11B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0033 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998264
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |