This monograph explains my research in teletraffic modeling by using two-parameter correlation function from the point of view of abstract analysis in Hilbert spaces. Methodologically, the book utilizes the extensions of fractional Gaussian noise (fGn) to study teletraffic modeling such that the extensions with two parameters are more flexible and accurate for traffic modeling than fGn, independent of the generalized Cauchy process, which was recently noticed in stochastic processes. The monograph is in the style of combining abstract analysis of traffic with processing real-traffic data. It focuses on the correlation form of traffic. For some fractal properties of traffic, such as multi-fractal, readers may refer to other references or some references in this book. This monograph may be a reference for postgraduates, scholars, and engineers in computer science, as well as those who are interested in traffic time series in applied statistics.
"synopsis" may belong to another edition of this title.
Ming Li, Ph.D., Prof. at East China Normal University, has over 170 publications internationally. He is the guest editor of MATH PROBL ENG for the special issue on Nonlinear Time Series in 2009- 2010, and the guest editor of TELECOMMUN SYST for the special issue on Traffic Modeling in 2008.
"About this title" may belong to another edition of this title.
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Li MingMing Li, Ph.D., Prof. at East China Normal University, has over 170 publications internationally. He is the guest editor of MATH PROBL ENG for the special issue on Nonlinear Time Series in 2009- 2010, and the guest editor of. Seller Inventory # 4979083
Quantity: Over 20 available
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This monograph explains my research in teletraffic modeling by using two-parameter correlation function from the point of view of abstract analysis in Hilbert spaces. Methodologically, the book utilizes the extensions of fractional Gaussian noise (fGn) to study teletraffic modeling such that the extensions with two parameters are more flexible and accurate for traffic modeling than fGn, independent of the generalized Cauchy process, which was recently noticed in stochastic processes. The monograph is in the style of combining abstract analysis of traffic with processing real-traffic data. It focuses on the correlation form of traffic. For some fractal properties of traffic, such as multi-fractal, readers may refer to other references or some references in this book. This monograph may be a reference for postgraduates, scholars, and engineers in computer science, as well as those who are interested in traffic time series in applied statistics. Seller Inventory # 9783639339963
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. A Two-Parameter Correlation of Teletraffic | Set-Valued Analysis | Ming Li | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639339963 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 107068553