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On a family of logarithmic and exponential integrals occurring in probability and reliability theory

Published online by Cambridge University Press:  17 February 2009

M. Aslam Chaudhry
Affiliation:
Dept of Math. Sciences, King Fahd Univ. of Petroleum and Minerals, Dhahran, Saudi Arabia.
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Abstract

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We define an integral function Iμ(α, x; a, b) for non-negative integral values of μ by

It is proved that Iμ(α, x; a, b) satisfies a functional recurrence relation which is exploited to find a closed form evaluation of some incomplete integrals. New integral representations of the exponential integral and complementary error functions are found as special cases.

Type
Research Article
Copyright
Copyright © Australian Mathematical Society 1994

References

[1]Chaudhry, M. Aslam and Ahmad, Munir, “On a new probability function with applications”, to appear.Google Scholar
[2]Chaudhry, M. Aslam and Ahmad, Munir, “On some infinite integrals involving logarithmic exponential and powers”, Proceedings of Royal Society of Edinburgh 122A (1992) 1115.CrossRefGoogle Scholar
[3]Atkinson, A. C., “The simulation of generalized inverse Gaussian, generalized hyperbolic, gamma and related random variables”, Research Report No. 52, Dept Theor. Statist., Aarhus University, 1979.Google Scholar
[4]Barndorff-Nielsen, O., Blaesild, P. and Halgreen, C., “First hitting time models for the generalized inverse Gaussian distribution”, Stoch. Processes Appl. 7 (1978) 4954.CrossRefGoogle Scholar
[5]Budak, B. M. and Fomin, S. V., Multiple integrals, field theory and series (Mir Publishers, Moscow, 1978).Google Scholar
[6]Chhikara, R. S. and Folks, J. L., “The inverse gaussian distribution as a lifetime model”, Technometrics 19 (1977) 461468.CrossRefGoogle Scholar
[7]Chhikara, R. S. and Folks, J. L., “The inverse Gaussian distribution and its statistical application–a review (with discussion)”, J. R. Statistic. Soc. B 40 (1978) 263289.Google Scholar
[8]Erdéyi, et al. Higher transcendental functions, Vol. 1 (McGraw-Hill, New York, 1953).Google Scholar
[9]Erdéyi, et al. , Tables of integral transforms. Vol. 1 (McGraw-Hill, New York, 1954).Google Scholar
[10]Good, I. J., “The population frequencies of species and the estimation of population parameters”, Biometrika 40 (1953) 237–60.CrossRefGoogle Scholar
[11]Gradshteyn, I. S. and Ryzhik, I. M., Tables of integrals, series and products (Academic Press, New York, 1980).Google Scholar
[12]Ilyin, V. A. and Poznyak, E. G., Fundamentals of mathematical analysis (Nauka, Moscow, 1967).Google Scholar
[13]Johnson, N. L. and Kotz, S., Distributions in statistics: Continuous univariate distributions 1 (Houghton-Mifflin, Boston, 1970).Google Scholar
[14]Jorgensen, B. and Pedersen, B. V., “Contribution to the discussion of O. Barndorff-Nielsen and D. R. Cox: Edgeworth and saddle-point approximations with statistical applications”, J. R. Statist. Soc. B 41 (1979) 309310.Google Scholar
[15]Lee, W. John, Well testing (Society of Petroleum Engineers of AIME, New York, 1982).Google Scholar
[16]Padgett, W. J. and Wei, L. J., “Estimation for the three-parameter inverse Gaussian distribution”, Commun. Statist.,–Theor. Meth. A 8 (1979) 129137.CrossRefGoogle Scholar
[17]Shuster, J. J., “On the inverse Gaussian distribution function”, J. Amer. Statist. Ass. 63 (1968) 15141516.CrossRefGoogle Scholar
[18]Watson, G. N., A treatise on theory of Bessel functions (Cambridge University Press, Cambridge, 1966).Google Scholar
[19]Whitmore, G. A., “An inverse Gaussian model for labour turnover”, J. R. Statist. Soc. A 142 (1979) 468478.Google Scholar
[20]Wise, M. G., “Skew distributions in biomedicine including some with negative powers of time”, in Statistical distributions in scientific work, Vol. 2: model building and model selection (eds. Patil, G. P. et al. ), (Dordrect Reidel, 1975) 241262.Google Scholar