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
- 학위논문파일 국외
- ISBN
- 9798516058783
- DDC
- 151
- 서명/저자
- Using Regularization to Evaluate Differential Item Functioning among Multiple Covariates: A Penalized Expectation-Maximization Algorithm via Coordinate Descent and Soft-Thresholding
- 발행사항
- [Sl] : The University of North Carolina at Chapel Hill, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 127 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
- 주기사항
- Advisor: Bauer, Daniel J.
- 학위논문주기
- Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Quantitative psychology
- 일반주제명
- Statistics
- 일반주제명
- Neurosciences
- 키워드
- Regularization
- 기타저자
- The University of North Carolina at Chapel Hill Psychology
- 기본자료저록
- Dissertations Abstracts International. 82-12B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.