Document Type
Article
Publication Date
2013
Abstract
Exponential-type upper bounds are formulated for the probability that the maximum of the partial sample sums of discrete random variables having finite equispaced support exceeds or differs from the population mean by a specified positive constant. The new inequalities extend the work of Serfling (1974). An example of the results are given to demonstrate their efficacy.
DOI
https://doi.org/10.5539/ijsp.v2n4p75
Repository Citation
Becnel, Jeremy; Riggs, Kent; and Young, Dean, "Probability Inequalities for the Sum of Random Variables When Sampling Without Replacement" (2013). Faculty Publications. 24.
https://scholarworks.sfasu.edu/mathandstats_facultypubs/24
Comments
Becnel, J., Riggs, K., & Young, D. (2013). Probability Inequalities for the Sum of Random Variables When Sampling Without Replacement. International Journal of Statistics and Probability, 2(4). https://doi.org/10.5539/ijsp.v2n4p75