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Zheng, S., Shi, N.-Z. and Ma, W. (2009) Statistical Inference on the Difference or Ratio of Means from Heteroscedastic Normal Populations. Journal of Statistical Planning and Inference, 140, 1236-1242.
https://doi.org/10.1016/j.jspi.2009.11.010

has been cited by the following article:

• TITLE: Bayesian Analysis of the Behrens-Fisher Problem under a Gamma Prior

  AUTHORS: Nengak Emmanuel Goltong, Sani Ibrahim Doguwa

  KEYWORDS: Behrens-Fisher Problem, Lindley’s Paradox, Metropolis-Hastings Algorithm, Informative Priors

  JOURNAL NAME: Open Journal of Statistics, Vol.8 No.6, December 4, 2018

  ABSTRACT: Yin [1] has developed a new Bayesian measure of evidence for testing a point null hypothesis which agrees with the frequentist p-value thereby, solving Lindley’s paradox. Yin and Li [2] extended the methodology of Yin [1] to the case of the Behrens-Fisher problem by assigning Jeffreys’ independent prior to the nuisance parameters. In this paper, we were able to show both analytically and through the results from simulation studies that the methodology of Yin[1] solves simultaneously, the Behrens-Fisher problem and Lindley’s paradox when a Gamma prior is assigned to the nuisance parameters.