Abstract
This is a famous example of how statistical methods can be contrived to overcome a problem of inadequate (in fact, missing) information.
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References
Student: Biometrika 6, 1 (1908)
M. Abramowitz, I. A. Stegun (eds.): Handbook of Mathematical Functions (National Bureau of Standards, Washington, DC 1964)
C. Stein: Proceedings Third Berkeley Symposium on Mathematics, Statistics, and Probability (University of California Press, Berkeley, CA 1955) p. 197
Additional Reading
Brandt, S.: Statistical and Computational Methods in Data Analysis, 2nd. rev. ed. (North-Holland, New York 1976)
Hogg, R. V., A. T. Craig: Introduction to Mathematical Statistics, 3rd ed. (Macmillan, London 1970)
Mendenhall, W., R. L. Scheaffer: Mathematical Statistics with Applications (Duxbury, North Scituate, MA 1973)
Kendall, M. G., A. Stuart: The Advanced Theory of Statistics, Vol. 2 (Griffin, London 1969)
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© 1991 Springer-Verlag Berlin Heidelberg
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Frieden, B.R. (1991). The Student t-Test on the Mean. In: Probability, Statistical Optics, and Data Testing. Springer Series in Information Sciences, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-97289-8_12
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DOI: https://doi.org/10.1007/978-3-642-97289-8_12
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