Estimation Of conditional residual entropy in the α-mixing functional data.
The residual entropy function introduced is viewed as a dynamic measure of uncertainty. This measure find applications in modeling and analysis of life time data. Our main objective is the nonparametric estimation of the residual entropy function with functional covariate. Some asymptotic properties of this estimator are established under suitable regularity conditions.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.