On the asymptotic optimum allocation in estimating entropies
Abstract
Uses a unified expression, called Hh,vφ1φ2 entropy to study the asymptotic properties of entropy estimates. Shows that the asymptotic distribution of entropy estimates, in a stratified random sampling set‐up, is normal. Based on the asymptotic precision of entropy estimates, optimum sample size allocations are developed under various constraints. Gives the relative precision of stratified and simple random sampling. Also provides applications to test statistical hypotheses and to build confidence intervals.
Keywords
Citation
Esteban and Morales, D. (1997), "On the asymptotic optimum allocation in estimating entropies", Kybernetes, Vol. 26 No. 1, pp. 18-29. https://doi.org/10.1108/03684929710158098
Publisher
:MCB UP Ltd
Copyright © 1997, MCB UP Limited