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Contents of PMS, Vol. 41, Fasc. 2,
pages 359 - 371
DOI: 10.37190/0208-4147.41.2.9
Published online 7.10.2021
 

On the transfer theorems for observed and unobserved random variables

Tomasz Krajka

Abstract:

We characterize the possible weak limits of \[\sum _{i=1}^n \epsilon _iX_i/k_n\] for a sequence \(\{X_n, n\geq 1\}\) of independent random variables and a sequence \(\{\epsilon _n, n\geq 1\}\) of indicator random variables (\(P[\epsilon _n\in\{0,1\}]=1\) for \(n\geq 1\)) and a non-random normalizing sequence \(\{k_n, n\geq 1\}\) of positive reals. We consider two cases: when \(\{X_n, n\geq 1\}\) and \(\{\epsilon _n, n\geq 1\}\) are independent or dependent. In the first case we obtain results generalizing transfer theorems, whereas in the other case, only a partial characterization was possible.

2010 AMS Mathematics Subject Classification: Primary 60F05.

Keywords and phrases: transfer theorem, weak limits, sums of observed random variables.

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