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Exact Methods in Statistical Inference

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자료유형E-Book
개인저자Qiu, Yixuan.
단체저자명Purdue University. Statistics.
서명/저자사항Exact Methods in Statistical Inference.
발행사항[S.l.] : Purdue University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항114 p.
소장본 주기School code: 0183.
ISBN9780438328679
일반주기 Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Advisers: Lingsong Zhang
요약Seeking exact methods for statistical inference problems is a fundamental and central topic in statistics. Exact methods refer to inference procedures that are able to accurately quantify the uncertainty associated with the statistical model for
요약In the first part, we revisit a classical mean comparison model for multivariate data, also known as the multivariate Behrens-Fisher problem. Specifically, we are interested in testing the mean difference between two multivariate normal samples
요약In the second part, we further extend the model to functional data, which are data viewed as functions or curves that are essentially infinite-dimensional. Functional data have become more and more prevalent with the advancement of modern data c
요약Lastly, we consider the exact inference of a class of Bayesian models in which only partial prior information is available, which is referred to as the Partial Bayes (PB) problem in this dissertation. PB problems arise when data analysts have so
일반주제명Statistics.
언어영어
기본자료 저록Dissertation Abstracts International80-01B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14999463

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