LDR | | 01487nmm uu200397 4500 |
001 | | 000000334504 |
005 | | 20240805180433 |
008 | | 181129s2016 |||||||||||||||||c||eng d |
020 | |
▼a 9780438170186 |
035 | |
▼a (MiAaPQ)AAI10189783 |
035 | |
▼a (MiAaPQ)umn:17083 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
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 |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |