000188051 001__ 188051
000188051 005__ 20190613115907.0
000188051 0247_ $$2doi$$a10.1007/978-3-642-35494-6_19
000188051 037__ $$aBOOK_CHAP
000188051 245__ $$aEvidence for Alternative Hypotheses
000188051 269__ $$a2013
000188051 260__ $$bSpringer$$c2013$$aBerlin
000188051 336__ $$aBook Chapters
000188051 520__ $$aMost researchers want evidence for the direction of an effect, not evidence against a point null hypothesis. Such evidence is ideally on a scale that is easily in- terpretable, with an accompanying standard error. Further, the evidence from iden- tical experiments should be repeatable, and evidence from independent experiments should be easily combined, such as required in meta-analysis. Such a measure of evidence exists and has been shown to be closely related to the Kullback-Leibler symmetrized distance between null and alternative hypotheses for exponential fam- ilies. Here we provide more examples of the latter phenomenon, for distributions ly- ing outside the class of exponential families, including the non-central chi-squared family with unknown non-centrality parameter.
000188051 700__ $$0241889$$g105911$$aMorgenthaler, Stephan
000188051 700__ $$aStaudte, Robert G.
000188051 720_1 $$aBecker, C.$$eed.
000188051 720_1 $$aFried, R.$$eed.
000188051 720_1 $$aKuhnt, S.$$eed.
000188051 773__ $$tRobustness and Complex Data Structures: Festschrift for Ursula Gather$$q315-329
000188051 8564_ $$uhttps://infoscience.epfl.ch/record/188051/files/StaudteFestschrift_UG_REV6.pdf$$zn/a$$s134614$$yn/a
000188051 909C0 $$xU10127$$0252209$$pSTAP
000188051 909CO $$ooai:infoscience.tind.io:188051$$pbook$$pSB$$pchapter$$qGLOBAL_SET
000188051 917Z8 $$x105911
000188051 937__ $$aEPFL-CHAPTER-188051
000188051 973__ $$aEPFL
000188051 980__ $$aCHAPTER