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On an inequality for the normal distribution arising in bioequivalence studies

Published online by Cambridge University Press:  14 July 2016

Yi-Ching Yao*
Affiliation:
Academia Sinica
Hari Iyer*
Affiliation:
Colorado State University
*
Postal address: Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, R.O.C. Email address: yao@stat.sinica.edu.tw
∗∗Postal address: Department of Statistics, Colorado State University, Fort Collins, CO 80523, USA.

Abstract

For (μ,σ2) ≠ (0,1), and 0 < z < ∞, we prove that where φ and Φ are, respectively, the p.d.f. and the c.d.f. of a standard normal random variable. This inequality is sharp in the sense that the right-hand side cannot be replaced by a larger quantity which depends only on μ and σ. In other words, for any given (μ,σ) ≠ (0,1), the infimum, over 0 < z < ∞, of the left-hand side of the inequality is equal to the right-hand side. We also point out how this inequality arises in the context of defining individual bioequivalence.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1999 

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References

Anderson, S., and Hauck, W. W. (1990). Consideration of individual bioequivalence. Journal of Pharmacokinetics and Biopharmaceutics 18, 259274.Google Scholar
Schall, R. (1995). Assessment of individual and population bioequivalence using the probability that bioavailabilities are similar. Biometrics 51, 615626.CrossRefGoogle ScholarPubMed
Schall, R., and Luus, H. G. (1993). On population and individual bioequivalence. Statistics in Medicine 12, 11091124.CrossRefGoogle ScholarPubMed