| LDR |  | 00000nmm u2200205   4500 | 
| 001 |  | 000000330640 | 
| 005 |  | 20241104112720 | 
| 008 |  | 181129s2015    |||    |   | |      eng d | 
| 020 |  | ▼a 9780438097315 | 
| 035 |  | ▼a (MiAaPQ)AAI10891768 | 
| 035 |  | ▼a (MiAaPQ)OhioLINK:osu1449069220 | 
| 040 |  | ▼a MiAaPQ
    ▼c MiAaPQ
    ▼d 248032 | 
| 049 | 1 | ▼f DP | 
| 082 | 0 | ▼a 310 | 
| 100 | 1 | ▼a Wang, Xiaomu. | 
| 245 | 10 | ▼a Robust Bayes in Hierarchical Modeling and Empirical Bayes Analysis in Multivariate Estimation. | 
| 260 |  | ▼a [S.l.] :
    ▼b The Ohio State University.,
    ▼c 2015 | 
| 260 | 1 | ▼a Ann Arbor :
    ▼b ProQuest Dissertations & Theses,
    ▼c 2015 | 
| 300 |  | ▼a 99 p. | 
| 500 |  | ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. | 
| 500 |  | ▼a Adviser: Berliner L. Mark. | 
| 502 | 1 | ▼a Thesis (Ph.D.)--The Ohio State University, 2015. | 
| 520 |  | ▼a With the modern development of statistical data analysis, the data volume increases and the data dimension increases correspondingly. This thesis investigates two classic Bayes problems: robust Bayes analysis in hierarchical modeling and empiric | 
| 520 |  | ▼a In Bayesian analysis, it is difficult to develop a single prior to completely and fully quantify our prior information. Thereby, o-contamination classes have become popular models of the uncertainty in prior distributions. For the first part of | 
| 520 |  | ▼a When a class of priors is assumed in Bayesian analysis, it is vital to consider a decision rule corresponding to this class. In a multivariate estimation setting, for the second part of this thesis, I focus on research to find a compromise betwe | 
| 590 |  | ▼a School code: 0168. | 
| 650 | 4 | ▼a Statistics. | 
| 690 |  | ▼a 0463 | 
| 710 | 20 | ▼a The Ohio State University.
    ▼b Statistics. | 
| 773 | 0 | ▼t Dissertation Abstracts International
    ▼g 79-10B(E). | 
| 773 |  | ▼t Dissertation Abstract International | 
| 790 |  | ▼a 0168 | 
| 791 |  | ▼a Ph.D. | 
| 792 |  | ▼a 2015 | 
| 793 |  | ▼a English | 
| 856 | 40 | ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000267
    ▼n KERIS | 
| 980 |  | ▼a 201812
    ▼f 2019 | 
| 990 |  | ▼a 관리자
    ▼b 관리자 |