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Sprache: Englisch
Verlag: ISTE Ltd and John Wiley & Sons Inc, London, 2020
ISBN 10: 1786306034 ISBN 13: 9781786306036
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Hardcover. Zustand: new. Hardcover. This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov, autoregressive and piecewise deterministic Markov models. The material is divided into three parts corresponding to: (i) Markov and semi-Markov processes, (ii) autoregressive processes and (iii) techniques based on divergence measures and entropies. A special attention is payed to applications in reliability, survival analysis and related fields. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes. Semi-Markov processes are much more general and better adapted to applications than the Markov ones because sojourn times in any state can be arbitrarily distributed, as opposed to the geometrically distributed sojourn time in the Markov case. Another unique feature of the book is the use of discrete time, especially useful in some specific applications where the time scale is intrinsically discrete. The models presented in the book are specifically adapted to reliability studies and DNA analysis. The book is mainly intended for applied probabilists and statisticians interested in semi-Markov chains theory, reliability and DNA analysis, and for theoretical oriented reliability and bioinformatics engineers. It can also serve as a text for a six month research-oriented course at a Master or PhD level. The prerequisites are a background in probability theory and finite state space Markov chains.Vlad Stefan Barbu is associate professor in statistics at the University of Rouen, France, Laboratory of Mathematics 'Raphaël Salem.' His research focuses basically on stochastic processes and associated statistical problems, with a particular interest in reliability and DNA analysis. He has published several papers in the field.Nikolaos Limnios is a professor in Applied Mathematics at the University of Technology of Compiègne. His research interest concerns stochastic processes and statistics with application to reliability. He is the co-author of the books: Semi-Markov Processes and Reliability (Birkhäuser, 2001 with G. Oprisan) and Stochastic Systems in Merging Phase Space (World Scientific, 2005, with V.S. Koroliuk).
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Sprache: Englisch
Verlag: ISTE Ltd and John Wiley & Sons Inc, 2020
ISBN 10: 1786306034 ISBN 13: 9781786306036
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In den WarenkorbZustand: New. 2020. 1st Edition. Hardcover. . . . . .
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In den WarenkorbGebunden. Zustand: New. Vlad Stefan BARBU1 : 1Associate Professor of Mathematics (Statistics) - HDR (Habilitation to Conduct Research) Laboratory of Mathematics Raphael Salem, University of Rouen - Normandy, France Nicolas VERGNE : Associate Professor of Mathematics (Statistics).
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In den WarenkorbHardcover. Zustand: Brand New. 278 pages. 9.06x6.38x0.87 inches. In Stock.
Sprache: Englisch
Verlag: ISTE Ltd and John Wiley & Sons Inc, 2020
ISBN 10: 1786306034 ISBN 13: 9781786306036
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Buch. Zustand: Neu. Neuware - This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov, autoregressive and piecewise deterministic Markov models. The material is divided into three parts corresponding to: (i) Markov and semi-Markov processes, (ii) autoregressive processes and (iii) techniques based on divergence measures and entropies. A special attention is payed to applications in reliability, survival analysis and related fields.