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Methods and Theory for Nonparametric Inference in High-Dimensional Settings
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Methods and Theory for Nonparametric Inference in High-Dimensional Settings. |
| 개인저자 | Xiang, Yunhua. |
| 단체저자명 | University of Washington. Biostatistics - Public Health. |
| 발행사항 | [S.l.]: University of Washington., 2021. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
| 형태사항 | 147 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-02B. Dissertation Abstract International |
| ISBN | 9798535507071 |
| 학위논문주기 | Thesis (Ph.D.)--University of Washington, 2021. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Advisor: Simon, Noah. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Biostatistics. Statistics. Biology. Artificial intelligence. Students. Hypotheses. Normal distribution. Dissertations & theses. Variables. Advisors. Confidence intervals. Bias. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
