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Parameter Identification and Assessment of Independence in Multivariate Statistical Modeling
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Parameter Identification and Assessment of Independence in Multivariate Statistical Modeling. |
| 개인저자 | Weihs, Luca. |
| 단체저자명 | University of Washington. Statistics. |
| 발행사항 | [S.l.]: University of Washington., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 123 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438177727 |
| 학위논문주기 | Thesis (Ph.D.)--University of Washington, 2018. |
| 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 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
