Mixture-based estimation of entropy

The entropy is a measure of uncertainty that plays central role in information theory. When the distribution data unknown, an estimate needs to be obtained from sample itself. A semi-parametric proposed based on mixture model approximation interest. Gaussian used illustrate accuracy and versatility proposal, although can rely any type mixture. Performance approach assessed through series simulation studies. Two real-life examples are also provided its use.