Approximations for success run probabilities in Bernoulli trials
Author:
Stephen Kaczkowski
Journal:
Theor. Probability and Math. Statist. 108 (2023), 45-57
MSC (2020):
Primary 60E05; Secondary 41A60
DOI:
https://doi.org/10.1090/tpms/1186
Published electronically:
May 2, 2023
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Additional Information
Abstract: Concise and convenient bounds are obtained for the probability mass and cumulative distribution functions associated with the first success run of length $k$ in a sequence of $n$ Bernoulli trials. Results are compared to an approximation obtained by the Stein–Chen method as well as to bounds obtained from statistical reliability theory. These approximation formulas are used to obtain precise estimates of the expectation value associated with the occurrence of at least one success run of length $k$ within $N$ concurrent sequences of Bernoulli trials.
References
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References
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- A. D. Barbour, O. Chrysaphinou and M. Roos, Compound Poisson approximation in reliability theory, IEEE Trans. Reliab. 44 (1995), 398–402. MR 1375386
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Additional Information
Stephen Kaczkowski
Affiliation:
SC Governor’s School, 401 Railroad Avenue, Hartsville, South Carolina 29550
Email:
s.v.kaczkowski@gmail.com
Keywords:
Bernoulli trials,
success runs,
asymptotic approximations
Received by editor(s):
November 30, 2021
Accepted for publication:
February 20, 2022
Published electronically:
May 2, 2023
Article copyright:
© Copyright 2023
Taras Shevchenko National University of Kyiv