자료유형 | E-Book |
---|---|
개인저자 | Weihs, Luca. |
단체저자명 | University of Washington. Statistics. |
서명/저자사항 | Parameter Identification and Assessment of Independence in Multivariate Statistical Modeling. |
발행사항 | [S.l.] : University of Washington., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 123 p. |
소장본 주기 | School code: 0250. |
ISBN | 9780438177727 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Mathias Drton. |
요약 | We are interested in the extent to which, possibly causal, relationships can be statistically quantified from multivariate data obtained from a system of random variables. In the ideal setting, we would begin with refined knowledge of which vari |
요약 | While scientists may not always be able to conduct a controlled experiment, thus only having observational data, they may they may be able to hypothesize or determine the directions in which causal relations point. For instance, ``mother smoking |
요약 | Departing even further from the above ideal, a scientist may be in the exploratory stage of research and thus have little to no understanding of the causal or functional relationships in their data. In this case, a natural first question to ask |
일반주제명 | Statistics. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14999198 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00028503 | 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |