Matrix-analytic methods in stochastic models

Matrix-analytic and related methods have become recognized as an important and fundamental approach for the mathematical analysis of general classes of complex stochastic models.  Research in the area of matrix-analytic and related methods seeks to discover underlying probabilistic structures intrin...

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Главный автор: Latouche, Guy
Другие авторы: Ramaswami, Vaidyanathan (Публикующий директор), Sethuraman, Jay (Публикующий директор), Sigman, Karl (Публикующий директор), Squillante, Mark S. (Публикующий директор), Yao, David (Публикующий директор)
Формат: Livre numérique
Язык:Anglais
Опубликовано: New York, NY : Springer New York [20..].
Cham : Springer Nature
Редактирование:1st ed. 2013.
Серии:Springer Proceedings in Mathematics & Statistics 27
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Примечание: Archives Springer e-books (Licence nationale)
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Matrix-Analytic Methods in Stochastic Models, Texte imprimé, 9781461449089
• Matrix-Analytic Methods in Stochastic Models, Texte imprimé, 9781461449102
• Matrix-Analytic Methods in Stochastic Models, Texte imprimé, 9781489994240
Оглавление:
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