International audienceWe uncover geometric aspects that underlie the sum of two independent stochastic variables when both are governed by q-Gaussian probability distributions. The pertinent discussion is given in terms of random vectors uniformly distributed on a p-sphere. (C) 2009 Published by Elsevier B.V
The central limit theorem is, with the strong law of large numbers, one of the two fundamental limit...
The central limit theorem is, with the strong law of large numbers, one of the two fundamental limit...
The classical Central Limit Theorem (CLT) is one of the most fundamental results in statistics. It s...
International audienceWe uncover geometric aspects that underlie the sum of two independent stochast...
20 pages, 9 figures. Text at the basis of a talk presented at the 7th International Conference on No...
Computational methods in statistical physics and nonlinear dynamics. Abstract. -We provide numerical...
Title from PDF of title page (University of Missouri--Columbia, viewed on August 28, 2012).The entir...
A model to simulate distributions and show a variety of concepts related to statistics
"Sonderdruck aus Zeitschrift fur Wahrscheinlichkeitstheorie 1,389--393 (1963).""July 1963."Includes ...
Abstract. A central limit theorem and a corresponding functional central h i t theorem are given und...
ABSTRACT. A central limit theorem is established for the sum of stochastically de-pendent generalize...
In this note, we give a probabilistic interpretation of the Central Limit Theorem used for approxima...
The central limit theorem is a fundamental theorem of statistics. It prescribes that the sum of a su...
The central limit theorem is a fundamental theorem of statistics. It prescribes that the sum of a su...
The central limit theorem is, with the strong law of large numbers, one of the two fundamental limit...
The central limit theorem is, with the strong law of large numbers, one of the two fundamental limit...
The central limit theorem is, with the strong law of large numbers, one of the two fundamental limit...
The classical Central Limit Theorem (CLT) is one of the most fundamental results in statistics. It s...
International audienceWe uncover geometric aspects that underlie the sum of two independent stochast...
20 pages, 9 figures. Text at the basis of a talk presented at the 7th International Conference on No...
Computational methods in statistical physics and nonlinear dynamics. Abstract. -We provide numerical...
Title from PDF of title page (University of Missouri--Columbia, viewed on August 28, 2012).The entir...
A model to simulate distributions and show a variety of concepts related to statistics
"Sonderdruck aus Zeitschrift fur Wahrscheinlichkeitstheorie 1,389--393 (1963).""July 1963."Includes ...
Abstract. A central limit theorem and a corresponding functional central h i t theorem are given und...
ABSTRACT. A central limit theorem is established for the sum of stochastically de-pendent generalize...
In this note, we give a probabilistic interpretation of the Central Limit Theorem used for approxima...
The central limit theorem is a fundamental theorem of statistics. It prescribes that the sum of a su...
The central limit theorem is a fundamental theorem of statistics. It prescribes that the sum of a su...
The central limit theorem is, with the strong law of large numbers, one of the two fundamental limit...
The central limit theorem is, with the strong law of large numbers, one of the two fundamental limit...
The central limit theorem is, with the strong law of large numbers, one of the two fundamental limit...
The classical Central Limit Theorem (CLT) is one of the most fundamental results in statistics. It s...
DOI
Add to ORKG