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Remote Access Theory of Probability and Mathematical Statistics

Theory of Probability and Mathematical Statistics

ISSN 1547-7363(online) ISSN 0094-9000(print)

   
 
 

 

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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Abstract | References | Similar Articles | 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.


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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