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
- Material Type
- 단행본
- ISBN
- 9798516058783
- DDC
- 151
- Author
- Belzak, William C.M.
- Title/Author
- Using Regularization to Evaluate Differential Item Functioning among Multiple Covariates: A Penalized Expectation-Maximization Algorithm via Coordinate Descent and Soft-Thresholding
- Publish Info
- [Sl] : The University of North Carolina at Chapel Hill, 2021
- Publish Info
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Material Info
- 127 p
- General Note
- Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
- General Note
- Advisor: Bauer, Daniel J.
- 학위논문주기
- 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
- 로그인 후 원문을 볼 수 있습니다.
- 소장사항
-
202202 2022
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