Number of samples — hypothesis testing

References 

1. Eckelman, WC. Justifying the number of animals for each experiment. Nucl Med Biol, this issue.
2. GraphPad InStat version 3.0a for Macintosh, GraphPad Software, San Diego, California, www.graphpad.com.
3. Hollander M, Wolfe DA. Nonparametric statistical methods. Wiley publication in applied statistics. New York: John Wiley and Sons; 1973;[A second edition (1999) is also available]
4. Fligner MA, Policello GE. Robust rank procedures for the Behrens–Fisher problem. Journal of the American Statistical Association. 1981;76(373):162–168
5. Efron B, Tibshirani RJ. An introduction to the Bootstrap. In: Monographs on statistics and applied probability. vol. 57:New York: Chapman and Hall; 1993;
6. Lehmann EL. Testing statistical hypotheses. In: Wiley series in probability and mathematical statistics. 2nd ed.. New York: John Wiley and Sons; 1986;[See pages 196–221. Eqs. (1b), (2b) and (3b) are given on page 202. Page 304 has further information on the Behrens–Fisher problem.]
7. Abramowitz M, Stegun IA. In: Handbook of mathematical functions. Applied mathematics series no. 55. Washington, DC: National Bureau of Standards, Superintendent of Documents, U.S. Government Printing Office; 1965;p. 255
8. Welch BL. The significance of the difference between two means when the population variances are unequal. Biometrika. 1938;29(3/4):350–362
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9. Aspin AA, Welch BL. Tables for use in comparisons whose accuracy involves two variances, separately estimated. Biometrika. 1949;36(3/4):290–296
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10. Scheffé H. Practical solutions of the Behrens–Fisher problem. Journal of the American Statistical Association. 1970;65(332):1501–1508