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Statistical and Machine Learning Methods for Pattern Identification in Environmental Mixtures
Statistical and Machine Learning Methods for Pattern Identification in Environmental Mixtures
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798534664041
- DDC
- 614.4
- 서명/저자
- Statistical and Machine Learning Methods for Pattern Identification in Environmental Mixtures
- 발행사항
- [Sl] : Columbia University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 182 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- 주기사항
- Advisor: Herbstman, Julie B;Kioumourtzoglou, Marianthi-Anna.
- 학위논문주기
- Thesis (Ph.D.)--Columbia University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Epidemiology
- 일반주제명
- Environmental health
- 일반주제명
- Biostatistics
- 일반주제명
- Research
- 일반주제명
- Population
- 일반주제명
- Pollutants
- 일반주제명
- Collaboration
- 일반주제명
- Identification
- 일반주제명
- Dissertations & theses
- 일반주제명
- Data analysis
- 일반주제명
- Health sciences
- 일반주제명
- Confidence intervals
- 일반주제명
- Pattern recognition
- 일반주제명
- Linear algebra
- 일반주제명
- Simulation
- 일반주제명
- Public health
- 일반주제명
- Chemicals
- 일반주제명
- Environmental protection
- 키워드
- Machine learning
- 기타저자
- Columbia University Environmental Health Sciences
- 기본자료저록
- Dissertations Abstracts International. 83-02B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2021 us c eng d■020 ▼a9798534664041
■035 ▼a(MiAaPQ)AAI28645478
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a614.4
■1001 ▼aGibson, Elizabeth Atkeson.
■24510▼aStatistical and Machine Learning Methods for Pattern Identification in Environmental Mixtures
■260 ▼a[Sl]▼bColumbia University▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a182 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.
■500 ▼aAdvisor: Herbstman, Julie B;Kioumourtzoglou, Marianthi-Anna.
■5021 ▼aThesis (Ph.D.)--Columbia University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0054.
■650 4▼aEpidemiology
■650 4▼aEnvironmental health
■650 4▼aBiostatistics
■650 4▼aResearch
■650 4▼aPopulation
■650 4▼aPollutants
■650 4▼aCollaboration
■650 4▼aIdentification
■650 4▼aDissertations & theses
■650 4▼aData analysis
■650 4▼aHealth sciences
■650 4▼aConfidence intervals
■650 4▼aPattern recognition
■650 4▼aLinear algebra
■650 4▼aSimulation
■650 4▼aPrincipal components analysis
■650 4▼aPublic health
■650 4▼aChemicals
■650 4▼aEnvironmental protection
■653 ▼aBayesian statistics
■653 ▼aChildren's health
■653 ▼aEndocrine disrupting chemicals
■653 ▼aMachine learning
■653 ▼aPattern recognition
■690 ▼a0766
■690 ▼a0470
■690 ▼a0308
■690 ▼a0573
■690 ▼a0566
■71020▼aColumbia University▼bEnvironmental Health Sciences.
■7730 ▼tDissertations Abstracts International▼g83-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0054
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16053256▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
