## Abstract Let __X__, __X__~1~, __X__~2~, β¦ be i.i.d. random variables with nondegenerate common distribution function __F__, satisfying __EX__ = 0, __EX__^2^ = 1. Let __X~i~__ and __M~n~__ = max{__X~i~__, 1 β€ __i__ β€ __n__ }. Suppose there exists constants __a~n~__ > 0, __b~n~__ β __R__ and a non
On the almost sure central limit theorem for randomly indexed sums
β Scribed by A. Krajka; J. Wasiura
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 169 KB
- Volume
- 282
- Category
- Article
- ISSN
- 0025-584X
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
Let {S~n~, n β₯ 1} be partial sums of independent identically distributed random variables. The almost sure version of CLT is generalized on the case of randomly indexed sums {S~Nn~, n β₯ 1}, where {N~n~, n β₯ 1} is a sequence of positive integerβvalued random variables independent of {S~n~, n β₯ 1}. The affects of nonrandom centering and norming are considered too (Β© 2009 WILEYβVCH Verlag GmbH & Co. KGaA, Weinheim)
π SIMILAR VOLUMES
## Abstract A general almost sure limit theorem is presented for random fields. It is applied to obtain almost sure versions of some (functional) central limit theorems. (Β© 2003 WILEYβVCH Verlag GmbH & Co. KGaA, Weinheim)
We prove an almost sure central limit theorem for some multidimensional stochastic algorithms used for the search of zeros of a function and known to satisfy a central limit theorem. The almost sure version of the central limit theorem requires either a logarithmic empirical mean (in the same way as
## Abstract Stochastic geometry models based on a stationary Poisson point process of compact subsets of the Euclidean space are examined. Random measures on β^__d__^, derived from these processes using Hausdorff and projection measures are studied. The central limit theorem is formulated in a way
Flajolet and Soria established several central limit theorems for the parameter 'number of components' in a wide class of combinatorial structures. In this paper, we shall prove a simple theorem which applies to characterize the convergence rates in their central limit theorems. This theorem is also