Embedding sequences of successive maxima in extremal processes, with applications

Author:

Ballerini Rocco,Resnick Sidney I.

Abstract

Consequences of embedding sequences {Mn } in an extremal-F process are discussed where Mn represents the maximum of n independent (but not necessarily identically distributed) random variables. Various limit theorems are proved for the sample record rate, record times, inter-record times, and record values. These results are illustrated with applications to three particular record models: the Yang (1975) record model where population size increases geometrically, a record model where linear improvement is present, and a record model incorporating features of the previous two.

Publisher

Cambridge University Press (CUP)

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Distribution-free inference in record series;Extremes;2017-02-01

2. Random and Poisson paced record models in the F α setup;Journal of Applied Probability;2000-06

3. Records from a power model of independent observations;Journal of Applied Probability;1995-12

4. Exact distribution theory for some point process record models;Advances in Applied Probability;1992-03

5. Extremal processes, secretary problems and the 1/e law;Journal of Applied Probability;1989-12

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