Reporting Confidence Intervals: A Paradoxical Situation

Bruno Lecoutre and Jacques Poitevineau
Additional contact information
Bruno Lecoutre: Universite de Rouen, CNRS
Jacques Poitevineau: Université Pierre et Marie Curie, CNRS

Chapter Chapter 7 in The Significance Test Controversy Revisited, 2022, pp 67-77 from Springer

Abstract: Abstract The different views and interpretations of interval estimates are reviewed. Their methodological implications—what is the right use of interval estimates?—are discussed. The usual confidence intervals are compared with the so-called “exact” or “correct” confidence intervals for ANOVA effect sizes. While the former can receive both frequentist and Bayesian justifications and interpretations, the latter present logical and methodological inconsistencies that demonstrate the shortcomings of the uncritical use of the Neyman-Pearson approach. In conclusion, we have to ask: Why isn’t everyone a Bayesian?

Keywords: Bayesian credible interval; Equivalence trials; Fisher’s fiducial inference; Frequentist confidence interval; The inconsistencies of confidence intervals for effect sizes; The naive Bayesian interpretation of confidence intervals (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-65705-8_7

Ordering information: This item can be ordered from
http://www.springer.com/9783662657058

DOI: 10.1007/978-3-662-65705-8_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().