In this paper we consider characterizations of the binomial, negative binomial, hypergeometric, negative hypergeometric, multinomial and multivariate hypergeometric distributions, by linear regression of one random variable (vector) on the other and the conditional distribution of the other random v
On discretizations of cumulative distribution functions
β Scribed by Gerd Jensen; Christian Pommerenke
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 128 KB
- Volume
- 284
- Category
- Article
- ISSN
- 0025-584X
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β¦ Synopsis
Abstract
Stochastic processes in discrete time are considered which develop through the successive application of independent positive multipliers and also are martingales. We construct optimal discretizations and derive properties of the MellinβStieltjes transforms of the cumulative distribution functions of the multipliers. Discretization means approximation by positive random variables with values in a given discrete set. It will be shown that the independence of the factors will be preserved in this procedure. The important case that discretization leads to multipliers with values in some fixed geometric progression allows one to write the MellinβStieltjes transforms as Laurent series. The processes are then investigated by using the fact that the MellinβStieltjes transform of an independent product is the product of the transforms of its factors. Β© 2011 WILEYβVCH Verlag GmbH & Co. KGaA, Weinheim
π SIMILAR VOLUMES
In part II of a series of articles on the least common multiple, the central object of investigation was a particular integer-valued arithmetic function g 1 (n). The most interesting problem there was the value distribution of g 1 (n). We proved that the counting function card[n x: g 1 (n) d ] has o