Fuzzy and randomized confidence intervals and P-values

By Charles J. Geyer, Glen Meeden. 2005

113 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7c97ada238231cf7abb617fe16f5b95f0f73f8af

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. J. Bernardo
2. Avi Feller
3. Guillaume W. Basse
4. Gholamreza Hesamian
5. Seyyed Meisam Taheri

In Statistics and Probability

1. J. Bernardo
2. Panos Toulis
3. Avi Feller
4. Guillaume W. Basse
5. Gholamreza Hesamian
6. Seyyed Meisam Taheri
7. Jan Hannig
8. Eric-Jan Wagenmakers

Citations in the corpus

• Intrinsic credible regions: An objective Bayesian approach to interval estimation (2005, background): “The pragmatic importance of these region estimates should not be underestimated; see Guttman (1970), Blyth (1986), Efron (1987), Hahn and Meeker (1991), Burdick and Graybill (1992), Eberly and Casella (2003), and references therein, for some monographic works on this topic.”
• Randomization tests of causal effects under interference (2019, background): “While this does not affect the validity of the test, it raises problems such as interpretation and sensitivity of the test results (Geyer & Meeden, 2005).”
• Fuzzy p-value in testing fuzzy hypotheses with crisp data (2008, background): “Geyer and Meeden (2005) introduced a fuzzy confidence interval and fuzzy p-value, which inherits the optimality of uniformly most powerful (UMP) and uniformly most powerful unbiased (UMPU) tests.”