| LDR | | 01481nmm uu200373 4500 |
| 001 | | 000000334582 |
| 005 | | 20240805180609 |
| 008 | | 181129s2017 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438373839 |
| 035 | |
▼a (MiAaPQ)AAI10279024 |
| 035 | |
▼a (MiAaPQ)wisc:14351 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 310 |
| 100 | 1 |
▼a Ta, Tram. |
| 245 | 10 |
▼a Generalized Regression Estimators with High-dimensional Covariates. |
| 260 | |
▼a [S.l.] :
▼b The University of Wisconsin - Madison.,
▼c 2017 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2017 |
| 300 | |
▼a 119 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
| 500 | |
▼a Adviser: Jun Shao. |
| 502 | 1 |
▼a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2017. |
| 520 | |
▼a Data from a large number of covariates are frequently observed in survey studies. These auxiliary variables contain valuable information that can be used to improve the efficiency when estimating certain population characteristics such as the po |
| 590 | |
▼a School code: 0262. |
| 650 | 4 |
▼a Statistics. |
| 690 | |
▼a 0463 |
| 710 | 20 |
▼a The University of Wisconsin - Madison.
▼b Statistics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0262 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2017 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996575
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |