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Probability bounds on the finite sum of the binary sequence of order k

Published online by Cambridge University Press:  14 July 2016

Sunil K. Dhar*
Affiliation:
New Jersey Institute of Technology
Xulun Jiang*
Affiliation:
New Jersey Institute of Technology
*
Postal address: Center for Applied Mathematics and Statistics and Department of Mathematics, New Jersey Institute of Technology, University Heights, Newark, NJ 07102, USA.
Postal address: Center for Applied Mathematics and Statistics and Department of Mathematics, New Jersey Institute of Technology, University Heights, Newark, NJ 07102, USA.

Abstract

The cumulative distribution of the finite sum of the binary sequence of order k is studied and some of its applications discussed. Certain properties of this sequence are investigated and uniformly superior bounds for the cumulative distribution under minimal information on the ‘success' probabilities are derived.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1995 

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References

Abul-Ela, A. A., Greenberg, B. G. and Horvitz, D. G. (1967) A multi-proportions randomized response model. ASA J September, 9901008.Google Scholar
Aki, S. (1985) Discrete distributions of order k on a binary sequence. Ann. Inst. Statist. Math. 37, 205224.Google Scholar
Anderson, T. W. and Samuels, S. M. (1965) Some inequalities among binomial and Poisson probabilities. Proc. 5th Berkeley Symp. Math. Statist. Prob. 1, 112.Google Scholar
Hodges, J. L. and Le Cam, L. (1960) The Poisson approximation to the Poisson binomial distribution. Ann. Math. Statist. 3, 737740.Google Scholar
Hoeffding, W. (1956) On the distribution of the number of successes in independent trials. Ann. Math. Statist. 27, 713721.Google Scholar
Gastwirth, J. L. (1977) A probability model of a pyramid scheme. Amer. Statistician 31, 7982.Google Scholar
Kolmogorov, A. N. (1956) Two uniform limit theorems for sums of independent random variables. Theory Prob. Appl. 1, 384394.Google Scholar
Kuk, A. Y. C. (1990) Asking sensitive questions indirectly. Biometrics 77, 436438.Google Scholar
Percus, O. E. and Percus, J. K. (1985) Probability bounds on the sum of independent nonidentically distributed binomial random variables. SIAM J. Appl. Math. 45, 621640.Google Scholar
Warner, S. L. (1965) Randomized response: a survey technique for eliminating evasive answer bias. ASA J. March, 6369.Google Scholar