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Using Regularization to Evaluate Differential Item Functioning among Multiple Covariates: A Penalized Expectation-Maximization Algorithm via Coordinate Descent and Soft-Thresholding.
Using Regularization to Evaluate Differential Item Functioning among Multiple Covariates: A Penalized Expectation-Maximization Algorithm via Coordinate Descent and Soft-Thresholding.
- 자료유형
- 학위논문
- Control Number
- 0016051212
- International Standard Book Number
- 9798516058783
- Dewey Decimal Classification Number
- 151
- Main Entry-Personal Name
- Belzak, William C.M.
- Publication, Distribution, etc. (Imprint
- [S.l.] : The University of North Carolina at Chapel Hill., 2021
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Physical Description
- 127 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
- General Note
- Advisor: Bauer, Daniel J.
- Dissertation Note
- Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Quantitative psychology.
- Subject Added Entry-Topical Term
- Statistics.
- Subject Added Entry-Topical Term
- Neurosciences.
- Index Term-Uncontrolled
- Coordinate descent
- Index Term-Uncontrolled
- Differential Item Functioning
- Index Term-Uncontrolled
- Expectation-Maximization algorithm
- Index Term-Uncontrolled
- Item response theory
- Index Term-Uncontrolled
- Regularization
- Index Term-Uncontrolled
- Soft-thresholding
- Added Entry-Corporate Name
- The University of North Carolina at Chapel Hill Psychology
- Host Item Entry
- Dissertations Abstracts International. 82-12B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:610138
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