A unified approach to limit theorems for urn models
- 1 March 1979
- journal article
- Published by Cambridge University Press (CUP) in Journal of Applied Probability
- Vol. 16 (1) , 154-162
- https://doi.org/10.2307/3213383
Abstract
An urn contains A balls of each of N colours. At random n balls are drawn in succession without replacement, with replacement or with replacement together with S new balls of the same colour. Let Xk be the number of drawn balls having colour k, k = 1, …, N. For a given function f the characteristic function of the random variable ZM = f(X1)+ … + f(XM), M ≦ N, is derived. A limit theorem for ZM when M, N, n → ∞is proved by a general method. The theorem covers many special cases discussed separately in the literature. As applications of the theorem limit distributions are obtained for some occupancy problems and for dispersion statistics for the binomial, Poisson and negative-binomial distribution.Keywords
This publication has 11 references indexed in Scilit:
- Two Conditional Limit Theorems with ApplicationsThe Annals of Statistics, 1979
- A generalization of a result of Erdös and RényiJournal of Applied Probability, 1977
- Combinatorial problems of probability theoryJournal of Mathematical Sciences, 1975
- Asymptotic Distributions for Occupancy and Waiting Time Problems with Positive Probability of Falling Through the CellsThe Annals of Probability, 1974
- Linear Statistical Inference and its ApplicationsPublished by Wiley ,1973
- Asymptotic normality and efficiency for certain goodness-of-fit testsBiometrika, 1972
- Testing for homogeneity of a binomial seriesBiometrika, 1968
- Testing for homogeneity: II. The Poisson distributionBiometrika, 1966
- Combinatorial Chance.Economica, 1962
- The Characteristic Function of a Conditional StatisticJournal of the London Mathematical Society, 1938