Guy latouche (58 risultati)
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L'ETUDE DE LA RELIGION AU QUEBEC. Bilan et prospective.
Collectif. Sous la direction de Jean-Marc Latouche et Guy Ménard
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2001 Les Presses de l'Université Laval, 2001. Fort in-broché de 504 p., couverture bristol illustrée. Bon état.
Stochastic Models, Volume 21, Numbers 2-3: Fifth International Conference on Matrix-Analytic Methods
Editore: Taylor and Francis, Philadelphia, PA., 2005
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Aggiungi al carrelloPaperback. Condizione: Very Good. 8vo, paperback. Vg+ condition. 846 pp.
Le processus électoral au Québec: les élections provinciales de 1970 et 1973
Daniel Latouche, Guy Lord et Jean-Guy Vaillancourt (sous la direction de)
Lingua: Francese
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Aggiungi al carrelloCouverture souple. Condizione: Très bon. Montréal, hurtubise/HMH, 1976, Coll. Cahiers du Québec, 288 p. Couverture très légèrement défraîchie.code 1188.
Lingua: Inglese
Editore: Springer, 2015
Serie: Libro 31 di 464 - Springer Proceedings in Mathematics & Statistics
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Lingua: Inglese
Editore: Springer, 2012
Serie: Libro 31 di 464 - Springer Proceedings in Mathematics & Statistics
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Matrix-Analytic Methods in Stochastic Models
Latouche, Guy (EDT); Ramaswami, Vaidyanathan (EDT); Sethuraman, Jay (EDT); Sigman, Karl (EDT); Squillante, Mark S. (EDT)
Lingua: Inglese
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Matrix-Analytic Methods in Stochastic Models
Latouche, Guy (EDT); Ramaswami, Vaidyanathan (EDT); Sethuraman, Jay (EDT); Sigman, Karl (EDT); Squillante, Mark S. (EDT)
Lingua: Inglese
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Matrix-Analytic Methods in Stochastic Models
Latouche, Guy|Ramaswami, Vaidyanathan|Sethuraman, Jay|Sigman, Karl|Squillante, Mark|Yao, David
Lingua: Inglese
Editore: Springer New York, 2012
Serie: Libro 31 di 464 - Springer Proceedings in Mathematics & Statistics
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Gebunden. Condizione: New.
Matrix-Analytic Methods in Stochastic Models
Latouche, Guy|Ramaswami, Vaidyanathan|Sethuraman, Jay|Sigman, Karl|Squillante, Mark S.|Yao, David
Lingua: Inglese
Editore: Springer New York, 2015
Serie: Libro 31 di 464 - Springer Proceedings in Mathematics & Statistics
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Condizione: New. pp. 258.
Lingua: Inglese
Editore: Springer, 2012
Serie: Libro 31 di 464 - Springer Proceedings in Mathematics & Statistics
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Condizione: New. pp. 272.
Altre immaginiLingua: Inglese
Editore: Springer, 2015
Serie: Libro 31 di 464 - Springer Proceedings in Mathematics & Statistics
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Taschenbuch. Condizione: Neu. Matrix-Analytic Methods in Stochastic Models | Guy Latouche (u. a.) | Taschenbuch | Springer Proceedings in Mathematics & Statistics | xiv | Englisch | 2015 | Springer | EAN 9781489994240 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hart…mann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
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Hardcover. Condizione: Brand New. 256 pages. 9.25x6.25x0.75 inches. In Stock.
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Hardcover. Condizione: new. Hardcover. This book explores regime-switching Brownian motion, a class of stochastic processes widely used in fields such as mathematical finance, risk theory, queueing theory, and epidemiological modeling. These processes are studied within the Markovian regime-switching framework, which captures dy…namic environments characterized by shifts between different states or "regimes"for example, economic cycles, seasonal environmental variations, or short-term surges in activity.The matrix-analytic approach, introduced approximately fifty years ago in the context of classical queueing theory, serves as the foundation for this analysis. This methodology emphasizes the examination of process trajectories over time, drawing insights from the interplay between analytic derivations and their physical or probabilistic interpretations. A central objective of the matrix-analytic framework is to produce solutions that are not only analytically tractable but also amenable to efficient, stable numerical algorithmsfacilitating practical implementation using standard computational tools. This enables both quantitative performance evaluation and qualitative system understanding.Originally developed for telecommunication network modeling, matrix-analytic methods have since found applications across a broad spectrum of disciplines, including risk analysis, branching processes, and epidemiology.This book is the first to offer a systematic application of matrix-analytic techniques to Markov-modulated Brownian motion, filling a gap in the literature and providing a valuable resource for researchers and practitioners alike.The intended audience includes specialists in stochastic processes and their applicationssuch as applied probabilists, actuaries, financial analysts, systems and operations researchers, applied statisticians, and engineers in telecommunications and electrical domains. Readers are expected to have a background in advanced undergraduate calculus, linear algebra, and introductory stochastic processes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Springer US, Springer New York, 2012
Serie: Libro 31 di 464 - Springer Proceedings in Mathematics & Statistics
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 discov…er underlying probabilistic structures intrinsic in such stochastic models, develop numerical algorithms for computing functionals (e.g., performance measures) of the underlying stochastic processes, and apply these probabilistic structures and/or computational algorithms within a wide variety of fields. This volume presents recent research results on: the theory, algorithms and methodologies concerning matrix-analytic and related methods in stochastic models; and the application of matrix-analytic and related methods in various fields, which includes but is not limited to computer science and engineering, communication networks and telephony, electrical and industrial engineering, operations research, management science, financial and risk analysis, and bio-statistics. These research studies provide deep insights and understanding of the stochastic models of interest from a mathematics and applications perspective, as well as identify directions for future research.
Lingua: Inglese
Editore: Springer, Springer, 2015
Serie: Libro 31 di 464 - Springer Proceedings in Mathematics & Statistics
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 intrinsic in such stochastic models, develop numerical algorithms for computing functionals (e.g., performance measures) of the underlying stochastic processes, and apply these probabilistic structures and/or computational algorithms within a wide variety of fields. This volume presents recent research results on: the theory, algorithms and methodologies concerning matrix-analytic and related methods in stochastic models; and the application of matrix-analytic and related methods in various fields, which includes but is not limited to computer science and engineering, communication networks and telephony, electrical and industrial engineering, operations research, management science, financial and risk analysis, and bio-statistics. These research studies provide deep insights and understanding of the stochastic models of interest from a mathematics and/or applications perspective, as well as identify directions for future research.
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Hardcover. Condizione: new. Hardcover. This book explores regime-switching Brownian motion, a class of stochastic processes widely used in fields such as mathematical finance, risk theory, queueing theory, and epidemiological modeling. These processes are studied within the Markovian regime-switching framework, which captures dy…namic environments characterized by shifts between different states or "regimes"for example, economic cycles, seasonal environmental variations, or short-term surges in activity.The matrix-analytic approach, introduced approximately fifty years ago in the context of classical queueing theory, serves as the foundation for this analysis. This methodology emphasizes the examination of process trajectories over time, drawing insights from the interplay between analytic derivations and their physical or probabilistic interpretations. A central objective of the matrix-analytic framework is to produce solutions that are not only analytically tractable but also amenable to efficient, stable numerical algorithmsfacilitating practical implementation using standard computational tools. This enables both quantitative performance evaluation and qualitative system understanding.Originally developed for telecommunication network modeling, matrix-analytic methods have since found applications across a broad spectrum of disciplines, including risk analysis, branching processes, and epidemiology.This book is the first to offer a systematic application of matrix-analytic techniques to Markov-modulated Brownian motion, filling a gap in the literature and providing a valuable resource for researchers and practitioners alike.The intended audience includes specialists in stochastic processes and their applicationssuch as applied probabilists, actuaries, financial analysts, systems and operations researchers, applied statisticians, and engineers in telecommunications and electrical domains. Readers are expected to have a background in advanced undergraduate calculus, linear algebra, and introductory stochastic processes. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
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Serie: Libro 31 di 464 - Springer Proceedings in Mathematics & Statistics
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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 272 | Sprache: Englisch | Produktart: Bücher | 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 me…thods seeks to discover underlying probabilistic structures intrinsic in such stochastic models, develop numerical algorithms for computing functionals (e.g., performance measures) of the underlying stochastic processes, and apply these probabilistic structures and/or computational algorithms within a wide variety of fields. This volume presents recent research results on: the theory, algorithms and methodologies concerning matrix-analytic and related methods in stochastic models; and the application of matrix-analytic and related methods in various fields, which includes but is not limited to computer science and engineering, communication networks and telephony, electrical and industrial engineering, operations research, management science, financial and risk analysis, and bio-statistics. These research studies provide deep insights and understanding of the stochastic models of interest from a mathematics and/or applications perspective, as well as identify directions for future research.
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Matrix-Analytic Methods in Stochastic Models
Latouche, Guy (EDT); Ramaswami, Vaidyanathan (EDT); Sethuraman, Jay (EDT); Sigman, Karl (EDT); Squillante, Mark S. (EDT)
Lingua: Inglese
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Matrix-Analytic Methods in Stochastic Models (Springer Proceedings in Mathematics & Statistics (27))
Lingua: Inglese
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Serie: Libro 31 di 464 - Springer Proceedings in Mathematics & Statistics
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Matrix-Analytic Methods in Stochastic Models
Latouche, Guy (EDT); Ramaswami, Vaidyanathan (EDT); Sethuraman, Jay (EDT); Sigman, Karl (EDT); Squillante, Mark S. (EDT)
Lingua: Inglese
Editore: Springer, 2012
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Hardcover. Condizione: new. Hardcover. This book explores regime-switching Brownian motion, a class of stochastic processes widely used in fields such as mathematical finance, risk theory, queueing theory, and epidemiological modeling. These processes are studied within the Markovian regime-switching framework, which captures dy…namic environments characterized by shifts between different states or "regimes"for example, economic cycles, seasonal environmental variations, or short-term surges in activity.The matrix-analytic approach, introduced approximately fifty years ago in the context of classical queueing theory, serves as the foundation for this analysis. This methodology emphasizes the examination of process trajectories over time, drawing insights from the interplay between analytic derivations and their physical or probabilistic interpretations. A central objective of the matrix-analytic framework is to produce solutions that are not only analytically tractable but also amenable to efficient, stable numerical algorithmsfacilitating practical implementation using standard computational tools. This enables both quantitative performance evaluation and qualitative system understanding.Originally developed for telecommunication network modeling, matrix-analytic methods have since found applications across a broad spectrum of disciplines, including risk analysis, branching processes, and epidemiology.This book is the first to offer a systematic application of matrix-analytic techniques to Markov-modulated Brownian motion, filling a gap in the literature and providing a valuable resource for researchers and practitioners alike.The intended audience includes specialists in stochastic processes and their applicationssuch as applied probabilists, actuaries, financial analysts, systems and operations researchers, applied statisticians, and engineers in telecommunications and electrical domains. Readers are expected to have a background in advanced undergraduate calculus, linear algebra, and introductory stochastic processes. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
