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Confidence bands for the logistic and probit regression models over intervals

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  • Lucy Kerns

Abstract

This article presents methods for the construction of two-sided and one-sided simultaneous hyperbolic bands for the logistic and probit regression models when the predictor variable is restricted to a given interval. The bands are constructed based on the asymptotic properties of the maximum likelihood estimators. Past articles have considered building two-sided asymptotic confidence bands for the logistic model, such as Piegorsch and Casella (1988). However, the confidence bands given by Piegorsch and Casella are conservative under a single interval restriction, and it is shown in this article that their bands can be sharpened using the methods proposed here. Furthermore, no method has yet appeared in the literature for constructing one-sided confidence bands for the logistic model, and no work has been done for building confidence bands for the probit model, over a limited range of the predictor variable. This article provides methods for computing critical points in these areas.

Suggested Citation

  • Lucy Kerns, 2017. "Confidence bands for the logistic and probit regression models over intervals," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(8), pages 3878-3890, April.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:8:p:3878-3890
    DOI: 10.1080/03610926.2015.1073319
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