Abstract
Empirical analysis is done to the sharp bounds presented in [12] for the probability of union of arbitrary events following monotonic distribution. Given any number of binomial moments, the closed form sharp bounds for the probability of union of events are presented in [12]. In this paper, we analyze the bounds and the probability distribution generated from the optimal basis for different monotonic functions with different monotonicity.
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Acknowledgements
The first author thanks MHRD (Government of India) and National Institute of Technology, Tiruchirappalli, India for financial support.
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Swarnalatha, R., Kumaran, V. (2019). Empirical Analysis of Probabilistic Bounds. In: Deep, K., Jain, M., Salhi, S. (eds) Logistics, Supply Chain and Financial Predictive Analytics. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-13-0872-7_11
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DOI: https://doi.org/10.1007/978-981-13-0872-7_11
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