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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
Detailed Information
- 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.
MARC
008220131s2021 us c eng d■020 ▼a9798516058783
■035 ▼a(MiAaPQ)AAI28317418
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a151
■1001 ▼aBelzak, William C.M.
■24510▼aUsing Regularization to Evaluate Differential Item Functioning among Multiple Covariates: A Penalized Expectation-Maximization Algorithm via Coordinate Descent and Soft-Thresholding
■260 ▼a[Sl]▼bThe University of North Carolina at Chapel Hill▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a127 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 82-12, Section: B.
■500 ▼aAdvisor: Bauer, Daniel J.
■5021 ▼aThesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0153.
■650 4▼aQuantitative psychology
■650 4▼aStatistics
■650 4▼aNeurosciences
■653 ▼aCoordinate descent
■653 ▼aDifferential Item Functioning
■653 ▼aExpectation-Maximization algorithm
■653 ▼aItem response theory
■653 ▼aRegularization
■653 ▼aSoft-thresholding
■690 ▼a0632
■690 ▼a0463
■690 ▼a0317
■71020▼aThe University of North Carolina at Chapel Hill▼bPsychology.
■7730 ▼tDissertations Abstracts International▼g82-12B.
■773 ▼tDissertation Abstract International
■790 ▼a0153
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16051212▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
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