| LDR | | 01608nam u200397 4500 |
| 001 | | 000000421540 |
| 005 | | 20190215165410 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780355930795 |
| 035 | |
▼a (MiAaPQ)AAI10816241 |
| 035 | |
▼a (MiAaPQ)wisc:15244 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 310 |
| 100 | 1 |
▼a Zhang, Ying. |
| 245 | 10 |
▼a Efficient Treatment Effect Estimation with Dimension Reduction. |
| 260 | |
▼a [S.l.]:
▼b The University of Wisconsin - Madison.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 104 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B. |
| 500 | |
▼a Advisers: Jun Shao |
| 502 | 1 |
▼a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2018. |
| 520 | |
▼a Estimation of average and quantile treatment effects is crucial in causal inference for evaluation of treatments or interventions in biomedical, economic, and social studies. Under the assumption of treatment and potential outcomes are independe |
| 590 | |
▼a School code: 0262. |
| 650 | 4 |
▼a Statistics. |
| 650 | 4 |
▼a Biostatistics. |
| 690 | |
▼a 0463 |
| 690 | |
▼a 0308 |
| 710 | 20 |
▼a The University of Wisconsin - Madison.
▼b Statistics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-09B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0262 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998230
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |