On binomial quantile and proportion bounds: With applications in engineering and informatics
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Publication:6107606
DOI10.1080/03610926.2021.1986540OpenAlexW3213793116MaRDI QIDQ6107606
Publication date: 3 July 2023
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2021.1986540
bioinformaticsengineeringbinomial distributionmachine learningquantile estimationconcentration inequalitiesproportion estimation
Cites Work
- A guided tour of Chernoff bounds
- Fault prognosis of timed stochastic discrete event systems with bounded estimation error
- Improved inequalities for the Poisson and binomial distribution and upper tail quantile functions
- A Complete Proof of Universal Inequalities for the Distribution Function of the Binomial Law
- A note on optimal sampling strategy for structural variant detection using optical mapping
- Probability Inequalities for Sums of Bounded Random Variables
- Univariate Discrete Distributions
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