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Simultaneous Inferences on the Cumulative Distribution Function of a Normal Distribution

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  • A. J. Hayter
  • S. Kiatsupaibul
  • P. Napalai
  • W. Liu

Abstract

This paper addresses the problem of constructing simultaneous confidence intervals for the cumulative distribution function of a normal distribution at several specified points. The procedure is based upon the observation of a random sample of independent observations from a normal distribution with an unknown mean and variance. A new methodology is proposed for obtaining confidence intervals with a specified overall simultaneous confidence level through the inversion of acceptance sets. Both one-sided and two-sided confidence intervals are considered. Some illustrations of the new method are provided, and comparisons are made with other approaches to the problem.

Suggested Citation

  • A. J. Hayter & S. Kiatsupaibul & P. Napalai & W. Liu, 2015. "Simultaneous Inferences on the Cumulative Distribution Function of a Normal Distribution," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 44(24), pages 5136-5145, December.
  • Handle: RePEc:taf:lstaxx:v:44:y:2015:i:24:p:5136-5145
    DOI: 10.1080/03610926.2013.815206
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