Abstract
We present, in an easy to use form, the large deviation theory of the binomial distribution: how to approximate the probability ofk or more successes inn independent trials, each with success probabilityp, when the specified fraction of successes,a≡k/n, satisfies 0<p<a<1.
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Arratia, R., L. Goldstein and L. Gordon. 1989. “Two Moments Suffice for Poisson Approximations: the Chen-Stein Method.” To appear inAnn. Probability.
Arratia, R., and E. Lander. 1988. “The Distribution of Clusters in Random Graphs.” Preprint. Bahadur, R. H. 1971. “Some Limit Theorems in Statistics.” SIAM Regional Conference Series in Applied Mathematics, Vol. 4.
—, and R. Ranga Rao. 1960. “On Deviations of the Sample Mean.”Ann. Math. Statist. 31, 1015–1027.
H. Cramer. 1938. “Sur un Nouveaux Theoreme-Limite de la Theorie des Probabilities.” Actualites Scientifiques et Industrielles; Colloque consacre a la Theorie des Probabilites. Vol. 3, No. 736, pp. 5–23. Paris: Hermann.
Ellis, R. S. 1985.Entropy, Large Deviations, and Statistical Mechanics. Berlin Springer.
Feller, W. 1968.An Introduction to Probability Theory and its Applications. Vol. 1. New York: Wiley.
Varadhan, S. R. S. 1984. “Large Deviations and Applications.” SIAM Regional Conference Series in Applied Mathematics, Vol. 46.
Waterman, M. S., R. Arratia and D. Galas. 1984. Pattern Recognition in Several Sequences: Consensus and Alignment.Bull. Math. Biol. 46, 515–527.
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Supported by NIH grant GM 36230 and NSF grant DMS 8601986.
Supported by NIH grant GM 36230 and a grant from the System Development Foundation.
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Arratia, R., Gordon, L. Tutorial on large deviations for the binomial distribution. Bltn Mathcal Biology 51, 125–131 (1989). https://doi.org/10.1007/BF02458840
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DOI: https://doi.org/10.1007/BF02458840