Estimation of a Probability with Guaranteed Normalized Mean Absolute Error
Statistics Theory
2018-12-19 v3 Statistics Theory
Abstract
The estimation of a probability p from repeated Bernoulli trials is considered in this paper. A sequential approach is followed, using a simple stopping rule. A closed-form expression and an upper bound are obtained for the mean absolute error of the unbiased estimator of p. The results given permit the estimation of an arbitrary probability with a prescribed level of normalized mean absolute error.
Cite
@article{arxiv.0904.3812,
title = {Estimation of a Probability with Guaranteed Normalized Mean Absolute Error},
author = {Luis Mendo},
journal= {arXiv preprint arXiv:0904.3812},
year = {2018}
}
Comments
2 figures