LDR | | 01587nam u200397 4500 |
001 | | 000000421518 |
005 | | 20190215165359 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438047990 |
035 | |
▼a (MiAaPQ)AAI10815951 |
035 | |
▼a (MiAaPQ)princeton:12532 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 310 |
100 | 1 |
▼a Zhu, Ziwei. |
245 | 10 |
▼a Distributed and Robust Statistical Learning. |
260 | |
▼a [S.l.]:
▼b Princeton University.,
▼c 2018. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
300 | |
▼a 268 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
500 | |
▼a Adviser: Jianqing Fan. |
502 | 1 |
▼a Thesis (Ph.D.)--Princeton University, 2018. |
520 | |
▼a Decentralized and corrupted data are nowadays ubiquitous, which impose fundamental challenges for modern statistical analysis. Illustrative examples are massive and decentralized data produced by distributed data collection systems of giant IT c |
590 | |
▼a School code: 0181. |
650 | 4 |
▼a Statistics. |
650 | 4 |
▼a Operations research. |
690 | |
▼a 0463 |
690 | |
▼a 0796 |
710 | 20 |
▼a Princeton University.
▼b Operations Research and Financial Engineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0181 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998209
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a ***1012033 |