Open Access Open Access  Restricted Access Subscription Access

Empirical Bayes Test for the Parameter of Power Distribution with Random Index and Missing Data

Li Naiyi, Wang Dehong

Abstract


In the case of random index and missing data , the empirical Bayes test rules for the parameter of Power distribution are constructed, and the asymptotically optimal property is obtained. It is shown that the convergence rates of the proposed EB test rules can arbitrarily close to O(n^(-1/2))under suitable conditions.

Keywords


Random index, missing data, empirical Bayes, asymptotic optimality, convergence rates.

Full Text:

PDF


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.