Results 1 to 10 of about 30,884 (295)
Stable limits for empirical processes on vapnik-cervonenk is classes of functions [PDF]
Alexander' s (1987) central limit theorem for empirical processes on Vapnik-Cervonenkis classes of functions is extended to the case with non-Gaussian stable limits.
Romo, Juan
core
Convergence of Weighted Linear Process for ρ-Mixing Random Variables
A central limit theorem and a functional central limit theorem are obtained for weighted linear process of ρ-mixing sequences for the Xt=∑i=0∞aiYt−i, where {Yi, 0 ...
Guang-Hui Cai
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On the central limit theorem for unsharp quantum random variables
We study the weak-convergence properties of random variables generated by unsharp quantum measurements. More precisely, for a sequence of random variables generated by repeated unsharp quantum measurements, we study the limit distribution of relative ...
Aleksandra Dimić, Borivoje Dakić
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Convergence results for multivariate martingales
We present a new version of the Central Limit Theorem for multivariate ...
L. Pratelli +3 more
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Variations of central limit theorems and Stirling numbers of the first kind [PDF]
Bernhard Heim, Markus Neuhauser
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The almost sure local central limit theorem is a general result which contains the almost sure global central limit theorem. Let {Xk,k≥1} $\{X_{k},k\geq 1\}$ be a strictly stationary negatively associated sequence of positive random variables.
Feng Xu, Binhui Wang, Yawen Hou
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Central Limit Theorem for Random “Contractive” Functions on Interval
We use the approach from Czudek and Szarek (see [1]) to prove the central limit theorem for a stationary Markov chain generated by an iterative function system for a family of increasing, injective functions on [0, 1] with “contractive” properties.
Block Maciej +2 more
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A Weak Limit Theorem for Galton-Watson Processes in Varying Environments
We extend Donsker’s theorem and the central limit theorem of classical Galton-Watson process to the Galton-Watson processes in varying environment.
Zhenlong Gao, Yanhua Zhang
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Central limit theorems for the integrated squared error of derivative estimators [PDF]
A central limit theorem for the weighted integrated squared error of kernel type estimators of the first two derivatives of a nonparametric regression function is proved by using results for martingale differences and U-statistics.
Birke, Melanie
core
Limit properties for ratios of order statistics from exponentials
In this paper, we study the limit properties of the ratio for order statistics based on samples from an exponential distribution and obtain the expression of the density functions, the existence of the moments, the strong law of large numbers for R n i j
Yong Zhang, Xue Ding
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