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Statistical Methods for Large Complex Datasets
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Statistical Methods for Large Complex Datasets. |
| 개인저자 | Datta, Abhirup. |
| 단체저자명 | University of Minnesota. Biostatistics. |
| 발행사항 | [S.l.]: University of Minnesota., 2016. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2016. |
| 형태사항 | 176 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438170186 |
| 학위논문주기 | Thesis (Ph.D.)--University of Minnesota, 2016. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: Sudipto Banerjee |
| 요약 | 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 |
| 일반주제명 | Biostatistics. Statistics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
