• DOI:10.4236/ojs.2019.91001
Corpus ID: 127968830

On Analysis of the Behrens-Fisher Problem Based on Bayesian Evidence

@article{Zaria2019OnAO,
  title={On Analysis of the Behrens-Fisher Problem Based on Bayesian Evidence},
  author={Zaria and Nigeria.},
  journal={Open Journal of Statistics},
  year={2019},
  volume={09},
  pages={1-14}
}

• Zaria, Nigeria.
• Published 2019
• Mathematics
• Open Journal of Statistics

In this paper we have demonstrated the ability of the new Bayesian measure of evidence of Yin (2012, Computational Statistics, 27: 237-249) to solve both the Behrens-Fisher problem and Lindley's paradox. We have provided a general proof that for any prior which yields a linear combination of two independent t random variables as posterior distribution of the dierence of means, the new Bayesian measure of evidence given that prior will solve Lindleys' paradox thereby serving as a general proof… Expand

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