β Scribed by Kinney, John J.
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
The Chung Smirnov law of the iterated logarithm and the Finkelstein functional law of the iterated logarithm for empirical processes are used to establish new results on the central limit theorem, the law of the iterated logarithm, and the strong law of large numbers for L-statistics with certain bo
The paper ia concerned with non-claesical bounds on the uniform metric 8, for the distance between distribution functions in the central limit theorem for sums of independent and identically distributed random variables. Various non-clamicol error-botmde previouely given are improved by the help of
## 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 varia