Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-28T03:10:41.493Z Has data issue: false hasContentIssue false

Moments of the exit-time distribution for carboxyhemoglobin due to cigarette smoking

Published online by Cambridge University Press:  14 July 2016

Allan H. Marcus*
Affiliation:
University of Maryland — Baltimore County
Stanley Czajkowski Jr.
Affiliation:
University of Maryland — Baltimore County
*
*Now at Washington State University, Pullman, Washington 99164, U.S.A.

Abstract

Linear and non-linear secondary Poisson process models are developed for the level of carboxyhemoglobin in cigarette smoking. The moments of the time of first exit above a critical threshold are expanded as power series in the initial state of the process. Recurrence relations for the coefficients in the moment series are solved numerically. An explicit formula involving Poisson probability functions is obtained for the mean exit time of shot noise.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1978 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

This research was supported by the U. S. National Institute of Environmental Health Science and the U. S. Environmental Protection Agency under Grant 1-R01-ES01236-1. Additional computer services were provided by The Computer Science Center of the University of Maryland. Mr. Keith Hoffman assisted us with computations.

References

[1] Bar-David, I. and Nemirovsky, A. (1972) Level crossings of non-differentiable shot processes. IEEE Trans. Inf. Theory IT-18, 2734.Google Scholar
[2] Coburn, R. F., Forster, R. E. and Kane, P. B. (1965) Considerations of the physiological variables that determine the blood carboxyhemoglobin concentration in man. J. Clinical Investigations 44, 18991910.CrossRefGoogle ScholarPubMed
[3] Keilson, J. and Ross, H. F. (1976) Passage-time distributions for gaussian Markov (Ornstein–Uhlenbeck) statistical processes. In Selected Tables in Mathematical Statistics, 3. American Mathematical Society, Providence, R.I. Google Scholar
[4] Luke, Y. L. (1969) The Special Functions and their Approximations. Academic Press, New York.Google Scholar
[5] Marcus, A. H., Becker, P. and Petry, M. (1976) Uptake of carbon monoxide: Fitting a nonlinear differential equation to clinical and environmental data. Submitted for publication.Google Scholar
[6] Roes, P. B. M. (1970) On the expected number of crossings of a level in certain stochastic processes. J. Appl. Prob. 7, 766770.Google Scholar
[7] Tsurui, A. and Osaki, S. (1976) On a first-passage problem for a cumulative process with exponential decay. Stoch. Proc. Appl. 4, 7988.Google Scholar
[8] Tuckwell, H. C. (1976) On the first-exit time problem for temporally homogeneous Markov processes. J. Appl. Prob. 13, 3948.Google Scholar
[9] U. S. National Academy Of Sciences, National Research Council (1974) Carbon Monoxide: Report to the U. S. Senate Committee on Public Works. U. S. Government Printing Office, Washington, D.C.Google Scholar