Abstract

Let ξ1, ξ2, ... be independent exponentially E(1)-distributed r.v.’s with the probability density function r(x)=exp(-x), x ≥0, and the distribution function R(x)=max{0,1-exp(-x)}. The special case of record values based on r.v.’s ξ1, ξ2, ... will be denoted as Z(1)<Z(2)<...<Z(n)<... . Record results in various spheres of human activities are very popular among citizens all over the world. It is enough to remember a lot of editions of the Guinness Book of Records. Therefore it is not surprising that there is the great interest among the specialists in probability and mathematical statistics to study and to solve the various problems which arise in the mathematical theory of records. There are a lot of monographs and papers (see, for example, references [1]-[9]), where the different aspects of the theory of records are considered. Meanwhile up to now there exist some of directions of this theory which attract the attention of mathematicians. One of these interesting directions is connected with obtaining the new characterizations of probability distributions based on the different properties of record values. Some of the corresponding results are given below.

Highlights

  • Record results in various spheres of human activities are very popular among citizens all over the world

  • It is enough to remember a lot of editions of the Guinness Book of Records

  • It is not surprising that there is the great interest among the specialists in probability and mathematical statistics to study and to solve the various problems which arise in the mathematical theory of records

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Summary

Introduction

Record results in various spheres of human activities are very popular among citizens all over the world. One of these interesting directions is connected with obtaining the new characterizations of probability distributions based on the different properties of record values. 2. One of the most important results in the theory of records is the representation of the exponential record values Z(n), n=1,2,..., via the sums of independent E(1)-distributed r.v.’s (see, for example, Lecture 16 in [9]). The following equality in distribution is valid: d

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