| LDR | | 01563nam u200397 4500 |
| 001 | | 000000422724 |
| 005 | | 20190215170345 |
| 008 | | 181129s2016 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438170186 |
| 035 | |
▼a (MiAaPQ)AAI10189783 |
| 035 | |
▼a (MiAaPQ)umn:17083 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 574 |
| 100 | 1 |
▼a Datta, Abhirup. |
| 245 | 10 |
▼a Statistical Methods for Large Complex Datasets. |
| 260 | |
▼a [S.l.]:
▼b University of Minnesota.,
▼c 2016. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2016. |
| 300 | |
▼a 176 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Advisers: Sudipto Banerjee |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Minnesota, 2016. |
| 520 | |
▼a Modern technological advancements have enabled massive-scale collection, processing and storage of information triggering the onset of the `big data' era where in every two days now we create as much data as we did in the entire twentieth centur |
| 590 | |
▼a School code: 0130. |
| 650 | 4 |
▼a Biostatistics. |
| 650 | 4 |
▼a Statistics. |
| 690 | |
▼a 0308 |
| 690 | |
▼a 0463 |
| 710 | 20 |
▼a University of Minnesota.
▼b Biostatistics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0130 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2016 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996498
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |