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001448859 001__ 1448859
001448859 003__ OCoLC
001448859 005__ 20230310004300.0
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001448859 020__ $$a9783030990916$$q(electronic bk.)
001448859 020__ $$a3030990915$$q(electronic bk.)
001448859 020__ $$z9783030990909$$q(print)
001448859 0247_ $$a10.1007/978-3-030-99091-6$$2doi
001448859 035__ $$aSP(OCoLC)1341844199
001448859 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCF$$dOCLCQ
001448859 049__ $$aISEA
001448859 050_4 $$aQA276
001448859 08204 $$a519.5$$223
001448859 1001_ $$aHirschauer, Norbert,$$eauthor.$$0(orcid)0000-0001-6027-8889$$1https://orcid.org/0000-0001-6027-8889
001448859 24510 $$aFundamentals of statistical inference :$$bwhat is the meaning of random error? /$$cNorbert Hirschauer, Sven Grüner, Oliver Mußhoff.
001448859 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022.
001448859 300__ $$a1 online resource (xv, 132 pages) :$$billustrations.
001448859 336__ $$atext$$btxt$$2rdacontent
001448859 337__ $$acomputer$$bc$$2rdamedia
001448859 338__ $$aonline resource$$bcr$$2rdacarrier
001448859 4901_ $$aSpringerBriefs in applied statistics and econometrics,$$x2524-4124
001448859 504__ $$aIncludes bibliographical references and index.
001448859 506__ $$aAccess limited to authorized users.
001448859 520__ $$aThis book provides a coherent description of foundational matters concerning statistical inference and shows how statistics can help us make inductive inferences about a broader context, based only on a limited dataset such as a random sample drawn from a larger population. By relating those basics to the methodological debate about inferential errors associated with p-values and statistical significance testing, readers are provided with a clear grasp of what statistical inference presupposes, and what it can and cannot do. To facilitate intuition, the representations throughout the book are as non-technical as possible. The central inspiration behind the text comes from the scientific debate about good statistical practices and the replication crisis. Calls for statistical reform include an unprecedented methodological warning from the American Statistical Association in 2016, a special issue "Statistical Inference in the 21st Century: A World Beyond p < 0.05" of The American Statistician in 2019, and a widely supported call to "Retire statistical significance" in Nature in 2019. The book elucidates the probabilistic foundations and the potential of sample-based inferences, including random data generation, effect size estimation, and the assessment of estimation uncertainty caused by random error. Based on a thorough understanding of those basics, it then describes the p-value concept and the null-hypothesis-significance-testing ritual, and finally points out the ensuing inferential errors. This provides readers with the competence to avoid ill-guided statistical routines and misinterpretations of statistical quantities in the future. Intended for readers with an interest in understanding the role of statistical inference, the book provides a prudent assessment of the knowledge gain that can be obtained from a particular set of data under consideration of the uncertainty caused by random error. More particularly, it offers an accessible resource for graduate students as well as statistical practitioners who have a basic knowledge of statistics. Last but not least, it is aimed at scientists with a genuine methodological interest in the above-mentioned reform debate.
001448859 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 23, 2022).
001448859 650_0 $$aMathematical statistics.
001448859 650_0 $$aProbabilities.
001448859 655_0 $$aElectronic books.
001448859 7001_ $$aGrüner, Sven,$$eauthor.$$0(orcid)0000-0001-5794-7076$$1https://orcid.org/0000-0001-5794-7076
001448859 7001_ $$aMusshoff, Oliver,$$eauthor.$$0(orcid)0000-0002-3746-623X$$1https://orcid.org/0000-0002-3746-623X
001448859 830_0 $$aSpringerBriefs in Applied Statistics and Econometrics,$$x2524-4124
001448859 852__ $$bebk
001448859 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-99091-6$$zOnline Access$$91397441.1
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001448859 980__ $$aBIB
001448859 980__ $$aEBOOK
001448859 982__ $$aEbook
001448859 983__ $$aOnline
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