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Estimation of Cross-Classified Multilevel Item Response Theory Models with Metropolis-Hastings Robbins-Monro Algorithm.
Estimation of Cross-Classified Multilevel Item Response Theory Models with Metropolis-Hastings Robbins-Monro Algorithm.
- Material Type
- 학위논문
- 0016052787
- Date and Time of Latest Transaction
- 20220210093426
- ISBN
- 9798516926884
- DDC
- 379
- Author
- Huang, Sijia.
- Title/Author
- Estimation of Cross-Classified Multilevel Item Response Theory Models with Metropolis-Hastings Robbins-Monro Algorithm.
- Publish Info
- [S.l.] : University of California, Los Angeles., 2021
- Publish Info
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Material Info
- 126 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 83-01, Section: A.
- General Note
- Advisor: Cai, Li.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Los Angeles, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Educational evaluation.
- Subject Added Entry-Topical Term
- Educational philosophy.
- Index Term-Uncontrolled
- Item response theory
- Index Term-Uncontrolled
- Multilevel latent variable models
- Index Term-Uncontrolled
- Cross-classified structures
- Index Term-Uncontrolled
- Student evaluations of teaching
- Added Entry-Corporate Name
- University of California, Los Angeles Education 0249
- Host Item Entry
- Dissertations Abstracts International. 83-01A.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- 소장사항
-
202202 2022
- Control Number
- joongbu:612504
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