자료유형 | 학위논문 |
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서명/저자사항 | Statistical Methods for Sparse Binary, Count Data and Treatment Effect Heterogeneity. |
개인저자 | Xie, Yuxiang. |
단체저자명 | University of Washington. Biostatistics - Public Health. |
발행사항 | [S.l.]: University of Washington., 2019. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
형태사항 | 105 p. |
기본자료 저록 | Dissertations Abstracts International 81-02B. Dissertation Abstract International |
ISBN | 9781085719179 |
학위논문주기 | Thesis (Ph.D.)--University of Washington, 2019. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
Advisor: Chan, Kwun Chuen Gary. |
이용제한사항 | This item must not be sold to any third party vendors.This item must not be added to any third party search indexes. |
요약 | The concept of 'sparsity' is common to see in many topics of statistics. 'Sparsity' is a double-edged sword, depending on the statistical context. Sometimes, sparsity brings convenience |
일반주제명 | Biostatistics. |
언어 | 영어 |
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