Format:
1 Online-Ressource (XX, 500 Seiten)
,
Illustrationen
Edition:
first published 2016
ISBN:
9781139046671
,
9780521861601
Series Statement:
Cambridge series in statistical and probabilistic mathematics 41
Content:
This lively book lays out a methodology of confidence distributions and puts them through their paces. Among other merits, they lead to optimal combinations of confidence from different sources of information, and they can make complex models amenable to objective and indeed prior-free analysis for less subjectively inclined statisticians. The generous mixture of theory, illustrations, applications and exercises is suitable for statisticians at all levels of experience, as well as for data-oriented scientists. Some confidence distributions are less dispersed than their competitors. This concept leads to a theory of risk functions and comparisons for distributions of confidence. NeymanPearson type theorems leading to optimal confidence are developed and richly illustrated. Exact and optimal confidence distribution is the gold standard for inferred epistemic distributions. Confidence distributions and likelihood functions are intertwined, allowing prior distributions to be made part of the likelihood. Meta-analysis in likelihood terms is developed and taken beyond traditional methods, suiting it in particular to combining information across diverse data sources
Note:
Title from publisher's bibliographic system (viewed on 08 Mar 2016)
Additional Edition:
ISBN 9780521861601
Additional Edition:
Erscheint auch als Druck-Ausgabe Schweder, Tore, 1943 - 2024 Confidence, likelihood, probability Cambridge : Cambridge University Press, 2016 ISBN 9780521861601
Language:
English
Subjects:
Mathematics
Keywords:
Statistische Schlussweise
;
Konfidenzintervall
DOI:
10.1017/CBO9781139046671
URL:
Volltext
(URL des Erstveröffentlichers)
