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LIMIT theorems of order statistics in Gaussian sequence.
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Esraa Abo Zaid,Haroon Barakat and El Sayed Nigm
ISBN: 9786133990340
Год издания: 2018
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 96
Издательство: LAP LAMBERT Academic Publishing
Цена: 29327 тг
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Аннотация: Order statistics play an important role in various fields of statistics and its applications. The order statistics often occur in mathematical statistics applications such as nonparametric, industrial applications such as life testing, economics applications such as finance, insurance and auction and military applications such as radar target detection and missile evaluation. The asymptotic theory of extreme order statistics provides in some cases exact but in most cases approximate probabilistic models for random quantities when the extremes govern the laws of interest (strength of materials, foods, droughts, air pollution, failure of equipment). The subject of generalized order statistics (gos) has been introduced by Kamps (1995) as a unification of several models of ascendingly ordered random variables. The second object is to study the limit distributions of extreme, intermediate and central m-gos, as well as m-dgos, of a stationary Gaussian sequence under equi-correlated set up.
Ключевые слова: dual generalized order statistics, Generalized order statistics, random sample size, Gaussian sequences