In this work, we obtain new characterizations of certain probability distributions by relations with different ordered random variables. Such variables include order statistics, sequential maxima, and records. We consider relations that include not only upper, but also lower record values. The presented ordered objects are based on sequences of independent random variables with a common continuous distribution function. We also investigate equalities in the distribution of sequential maxima exposed by various random shifts. These shifts (one-sided or two-sided) have exponential distributions. Certain theorems and their corollaries present corresponding characterizations of distributions by relations of such a type. In addition, we consider exponentially shifted order statistics such that simple relations among them also characterize certain probability distributions. All of the presented results yield a set of characterizations of various distributions. For particular cases, we present the relations that characterize families of classical exponential and logistic distributions.
Язык оригиналаанглийский
Страницы (с-по)197-203
Число страниц7
ЖурналVestnik St. Petersburg University: Mathematics
Том49
Номер выпуска3
СостояниеОпубликовано - июл 2016

    Предметные области Scopus

  • Теория вероятности и статистика

ID: 9307612