Author： Chacón J. E. Montanero J. Nogales A. G. Pérez P.
Publisher： Taylor & Francis Ltd
ISSN： 0361-0926
Source： Communications in Statistics: Theory and Methods, Vol.36, Iss.12, 2007-09, pp. : 2251-2261
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
This article deals with Bayes factors as useful Bayesian tools in frequentist testing of a precise hypothesis. A result and several examples are included to justify the definition of Bayes factor for point null hypotheses, without merging the initial distribution with a degenerate distribution on the null hypothesis. Of special interest is the problem of testing a proportion (joint with a natural criterion to compare different tests), the possible presence of nuisance parameters, or the influence of Bayesian sufficiency on this problem. The problem of testing a precise hypothesis under a Bayesian perspective is also considered and two alternative methods to deal with are given.
Related content
Access to resources
Recommend
Testing the Martingale Hypothesis
By Phillips Peter C. B. Jin Sainan
Journal of Business & Economic Statistics, Vol. 32, Iss. 4, 2014-10 ,pp. :
Hypothesis testing in smoothing spline models
Journal of Statistical Computation and Simulation, Vol. 74, Iss. 8, 2004-08 ,pp. :