March 2013 Limit theorems for a generalized Feller game
Keisuke Matsumoto, Toshio Nakata
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J. Appl. Probab. 50(1): 54-63 (March 2013). DOI: 10.1239/jap/1363784424

Abstract

In this paper we study limit theorems for the Feller game which is constructed from one-dimensional simple symmetric random walks, and corresponds to the St. Petersburg game. Motivated by a generalization of the St. Petersburg game which was investigated by Gut (2010), we generalize the Feller game by introducing the parameter α. We investigate limit distributions of the generalized Feller game corresponding to the results of Gut. Firstly, we give the weak law of large numbers for α=1. Moreover, for 0<α≤1, we have convergence in distribution to a stable law with index α. Finally, some limit theorems for a polynomial size and a geometric size deviation are given.

Citation

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Keisuke Matsumoto. Toshio Nakata. "Limit theorems for a generalized Feller game." J. Appl. Probab. 50 (1) 54 - 63, March 2013. https://doi.org/10.1239/jap/1363784424

Information

Published: March 2013
First available in Project Euclid: 20 March 2013

zbMATH: 1274.60070
MathSciNet: MR3076772
Digital Object Identifier: 10.1239/jap/1363784424

Subjects:
Primary: 60F05
Secondary: 60G50

Keywords: Extremes , Feller's game , Law of Large Numbers , simple symmetric random walk , Stable law

Rights: Copyright © 2013 Applied Probability Trust

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Vol.50 • No. 1 • March 2013
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