Bivariate Limit Theorems for Record Values Based on Random Sample Sizes

Sankhya A ◽  
2019 ◽  
Vol 82 (1) ◽  
pp. 50-67
Author(s):  
M. A. Abd Elgawad ◽  
H. M. Barakat ◽  
Ting Yan
2015 ◽  
Author(s):  
M. E. Grigoryeva ◽  
Victor Yu. Korolev ◽  
Alexander I. Zeifman

1998 ◽  
Vol 30 (03) ◽  
pp. 777-806 ◽  
Author(s):  
Dmitrii S. Silvestrov ◽  
Jozef L. Teugels

This paper is devoted to the investigation of limit theorems for extremes with random sample size under general dependence-independence conditions for samples and random sample size indexes. Limit theorems of weak convergence type are obtained as well as functional limit theorems for extremal processes with random sample size indexes.


Extremes ◽  
2007 ◽  
Vol 10 (3) ◽  
pp. 129-150 ◽  
Author(s):  
Michael Mayer ◽  
Ilya Molchanov

1987 ◽  
Vol 24 (4) ◽  
pp. 827-837 ◽  
Author(s):  
Rocco Ballerini ◽  
Sidney I. Resnick

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.


2013 ◽  
Author(s):  
Célia Nunes ◽  
Gilberto Capistrano ◽  
Dário Ferreira ◽  
Sandra S. Ferreira

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