References
- Bennett, B.M. (1951). Note on a solution of the generalized Behrens-Fisher problem. Annals of the Institute of Statistical Mathematics 2:87–90.
- Fang, K.T., Kotz, S., Ng, K.W. (1990). Symmetric Multivariate and Related Distributions. London: Chapman Hall/CRC.
- Girón, F.J., Castillo, C. (2010). The multivariate Behrens-Fisher distribution. Journal of Multivariate Analysis 101:2091–2102.
- James, G.S. (1954). Tests of linear hypotheses in univariate and multivariate analysis when the ratios of the population variances are unknown. Biometrika 41:19–43.
- Johansen, S. (1980). The Welch-James approximation to the distribution of the residual sum of squares in a weighted linear regression. Biometrika 67:85–92.
- Kim, S.-J. (1992). A practical solution to the multivariate Behrens-Fisher problem. Biometrika 79:171–176.
- Krishnamoorthy, K., Yu, J. (2004). Modified Nel and Van der Merwe test for the multivariate Bahrens-Fisher problem. Statistics
Probability Letters 66:161–169.
- Krishnamoorthy, K., Yu, J. (2012). Multivariate Behrens-Fisher problem with missing data. Journal of Multivariate Analysis 105:141–150.
- Nel, D.G., van der Merwe, C.A. (1986). A solution to the multivariate Behrens-Fisher problem. Communications in Statistics—Theory Methods 15:3719–3735.
- Nel, D.G., van der Merwe, C.A., Moser, B.K. (1990). The exact distributions of the univariate and multivariate Behrens-Fisher statistics with a comparison of several solutions in the univariate case. Communications in Statistics – Theory Methods 19:279–298.
- Scheffé, H. (1943). On solutions of the Behrens-Fisher problem, based on the t-distribution. Annals of Mathematical Statistics 14:35–44.
- Seko, N., Kawasaki, T., Seo, T. (2011). Testing equality of two mean vectors with two-step monotone missing data. American Journal of Mathematical and Management Sciences 31:117–135.
- Welch, B.L. (1938). The significance of the difference between two means when the population variances are unequal. Biometrika 29:350–362.
- Yanagihara, H., Yuan, K. (2005). Three approximate solutions to the multivariate Behrens-Fisher problem. Communications in Statistics – Simulation and Computation 34:975–988.
- Yao, Y. (1965). An approximate degrees of freedom solution to the multivariate Behrens-Fisher problem. Biometrika 52:139–147.