Random sums

Risk Theory ◽  
2017 ◽  
pp. 169-229
Keyword(s):  
Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1571
Author(s):  
Irina Shevtsova ◽  
Mikhail Tselishchev

We investigate the proximity in terms of zeta-structured metrics of generalized negative binomial random sums to generalized gamma distribution with the corresponding parameters, extending thus the zeta-structured estimates of the rate of convergence in the Rényi theorem. In particular, we derive upper bounds for the Kantorovich and the Kolmogorov metrics in the law of large numbers for negative binomial random sums of i.i.d. random variables with nonzero first moments and finite second moments. Our method is based on the representation of the generalized negative binomial distribution with the shape and exponent power parameters no greater than one as a mixed geometric law and the infinite divisibility of the negative binomial distribution.


2020 ◽  
pp. 93-152
Author(s):  
Boris V. Gnedenko ◽  
Victor Yu. Korolev

Author(s):  
José Manuel Corcuera ◽  
David Nualart Nualart ◽  
Mark Podolskij
Keyword(s):  

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