Stability for sums of i.i.d. random variables when extreme terms are excluded
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Publication:4119900
DOI10.1007/BF00532880zbMath0349.60054MaRDI QIDQ4119900
Publication date: 1977
Published in: Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete (Search for Journal in Brave)
Related Items (27)
A phase transition in random coin tossing ⋮ The influence of extremes on the law of the iterated logarithm ⋮ On the relationship between the almost sure stability of weighted empirical distributions and sums of order statistics ⋮ Convergence in distribution of lightly trimmed and untrimmed sums are equivalent ⋮ A functional law of the iterated logarithm for distributions in the domain of partial attraction of the normal distribution ⋮ A strong law of large numbers for trimmed sums, with applications to generalized St. Petersburg games ⋮ Extrema of Luroth Digits and a zeta function limit relation ⋮ Symmetric Birkhoff sums in infinite ergodic theory ⋮ Chover-type laws of the iterated logarithm for weighted sums. ⋮ Dimension of Gibbs measures with infinite entropy ⋮ Asymptotics of trimmed CUSUM statistics ⋮ Mean convergence for intermediately trimmed Birkhoff sums of observables with regularly varying tails ⋮ Intermediately trimmed strong laws for Birkhoff sums on subshifts of finite type ⋮ Strong laws of large numbers for intermediately trimmed sums of i.i.d. random variables with infinite mean ⋮ Laws of the iterated logarithm for symmetric stable processes ⋮ Quantitative ergodic theorems for weakly integrable functions ⋮ Laws of the iterated logarithm for sums of the middle portion of the sample ⋮ Relative stability of trimmed sums ⋮ Supplement to the law of large numbers when extreme terms are excluded ⋮ Strong laws of large numbers for intermediately trimmed Birkhoff sums of observables with infinite mean ⋮ Convergence rates in the law of large numbers when extreme terms are excluded ⋮ A LIL and limit distributions for trimmed sums of random vectors attracted to operator semi-stable laws ⋮ Trimmed sums for non-negative, mixing stationary processes. ⋮ An almost sure limit theorem for moving averages of random variables between the strong law of large numbers and the Erdös-Rényi law ⋮ Strong approximation theorems for sums of random variables when extreme terms are excluded ⋮ Extreme values and the law of the iterated logarithm ⋮ Limit law of the iterated logarithm for \(B\)-valued trimmed sums
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