LDR | | 00000nam u2200205 4500 |
001 | | 000000432675 |
005 | | 20200224133629 |
008 | | 200131s2019 ||||||||||||||||| ||eng d |
020 | |
▼a 9781085719179 |
035 | |
▼a (MiAaPQ)AAI13899523 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 574 |
100 | 1 |
▼a Xie, Yuxiang. |
245 | 10 |
▼a Statistical Methods for Sparse Binary, Count Data and Treatment Effect Heterogeneity. |
260 | |
▼a [S.l.]:
▼b University of Washington.,
▼c 2019. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
300 | |
▼a 105 p. |
500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-02, Section: B. |
500 | |
▼a Advisor: Chan, Kwun Chuen Gary. |
502 | 1 |
▼a Thesis (Ph.D.)--University of Washington, 2019. |
506 | |
▼a This item must not be sold to any third party vendors. |
506 | |
▼a This item must not be added to any third party search indexes. |
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▼a 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 |
590 | |
▼a School code: 0250. |
650 | 4 |
▼a Biostatistics. |
690 | |
▼a 0308 |
710 | 20 |
▼a University of Washington.
▼b Biostatistics - Public Health. |
773 | 0 |
▼t Dissertations Abstracts International
▼g 81-02B. |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0250 |
791 | |
▼a Ph.D. |
792 | |
▼a 2019 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15492066
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 202002
▼f 2020 |
990 | |
▼a ***1008102 |
991 | |
▼a E-BOOK |