Generalization of strong law of large numbers for nonnegative random variables

Z. Shokooh Ghazani

Abstract



In this paper, the convergence rate in the strong law of large numbers is presented for a sequence of nonnegative random variables with bounded q-th moments. This result imply an extension version of Kolmogorov’s classical strong law to the nonnegative case.

Keywords


Strong law of large numbers, Convergence rate.

Refbacks

  • There are currently no refbacks.


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.