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Stochastic Processes: Harmonizable Theory (Multivariate Analysis
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Aproximadamente17,39 EUR
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Ubicado en: MD, Estados Unidos
Entrega:
Entrega prevista entre el mar. 21 oct. y el lun. 27 oct. a 94104
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N.º de artículo de eBay:336097679814
Última actualización el 19 sep 2025 23:13:25 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- Title
- Stochastic Processes: Harmonizable Theory (Multivariate Analysis
- ISBN
- 9789811213656
Acerca de este producto
Product Identifiers
Publisher
World Industries Scientific Publishing Co Pte LTD
ISBN-10
9811213658
ISBN-13
9789811213656
eBay Product ID (ePID)
10038409966
Product Key Features
Number of Pages
338 Pages
Publication Name
Stochastic Processes: Harmonizable Theory
Language
English
Publication Year
2020
Subject
Probability & Statistics / Stochastic Processes, General, Mathematical Analysis
Type
Textbook
Subject Area
Mathematics
Series
Multivariate Analysis Ser.
Format
Hardcover
Dimensions
Item Weight
0 Oz
Additional Product Features
Intended Audience
Trade
LCCN
2020-012114
Synopsis
The book presents, for the first time, a detailed analysis of harmonizable processes and fields (in the weak sense) that contain the corresponding stationary theory as a subclass. It also gives the structural and some key applications in detail. These include Levy's Brownian motion, a probabilistic proof of the longstanding Riemann's hypothesis, random fields indexed by LCA and hypergroups, extensions to bistochastic operators, Cramér-Karhunen classes, as well as bistochastic operators with some statistical applications.The material is accessible to graduate students in probability and statistics as well as to engineers in theoretical applications. There are numerous extensions and applications pointed out in the book that will inspire readers to delve deeper., The book presents, for the first time, a detailed analysis of harmonizable processes and fields (in the weak sense) that contain the corresponding stationary theory as a subclass. It also gives the structural and some key applications in detail. These include Levy's Brownian motion, a probabilistic proof of the longstanding Riemann's hypothesis, random fields indexed by LCA and hypergroups, extensions to bistochastic operators, Cramr-Karhunen classes, as well as bistochastic operators with some statistical applications.The material is accessible to graduate students in probability and statistics as well as to engineers in theoretical applications. There are numerous extensions and applications pointed out in the book that will inspire readers to delve deeper.
LC Classification Number
QA274.R3725 2020
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CRN: 03800600
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