GPS Stochastic Modelling, Xiaoguang Luo

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 74970.00 T
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Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Автор: Xiaoguang Luo
Название: GPS Stochastic Modelling
ISBN: 3642348351 ISBN-13(EAN): 9783642348358
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book is a key step towards a realistic GNSS stochastic model and provides good examples of statistical verification and physical interpretation of results. It gives an overview of the GNSS error effects and details the mathematical models.

Автор: Borovkov Konstantin
Название: Elements Of Stochastic Modelling (2Nd Edition)
ISBN: 9814571156 ISBN-13(EAN): 9789814571159
Издательство: World Scientific Publishing
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Цена: 95040.00 T
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Описание: This is the expanded second edition of a successful textbook that provides a broad introduction to important areas of stochastic modelling. The original text was developed from lecture notes for a one-semester course for third-year science and actuarial students at the University of Melbourne. It reviewed the basics of probability theory and then covered the following topics: Markov chains, Markov decision processes, jump Markov processes, elements of queueing theory, basic renewal theory, elements of time series and simulation.The present edition adds new chapters on elements of stochastic calculus and introductory mathematical finance that logically complement the topics chosen for the first edition. This makes the book suitable for a larger variety of university courses presenting the fundamentals of modern stochastic modelling. Instead of rigorous proofs we often give only sketches of the arguments, with indications as to why a particular result holds and also how it is related to other results, and illustrate them by examples. Wherever possible, the book includes references to more specialised texts on respective topics that contain both proofs and more advanced material.

Автор: Borovkov Konstantin
Название: Elements Of Stochastic Modelling (2Nd Edition)
ISBN: 9814571164 ISBN-13(EAN): 9789814571166
Издательство: World Scientific Publishing
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Цена: 50690.00 T
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Описание: This is the expanded second edition of a successful textbook that provides a broad introduction to important areas of stochastic modelling. The original text was developed from lecture notes for a one-semester course for third-year science and actuarial students at the University of Melbourne. It reviewed the basics of probability theory and then covered the following topics: Markov chains, Markov decision processes, jump Markov processes, elements of queueing theory, basic renewal theory, elements of time series and simulation.The present edition adds new chapters on elements of stochastic calculus and introductory mathematical finance that logically complement the topics chosen for the first edition. This makes the book suitable for a larger variety of university courses presenting the fundamentals of modern stochastic modelling. Instead of rigorous proofs we often give only sketches of the arguments, with indications as to why a particular result holds and also how it is related to other results, and illustrate them by examples. Wherever possible, the book includes references to more specialised texts on respective topics that contain both proofs and more advanced material.

Автор: Jacques Janssen; Christos H. Skiadas; Constantin Z
Название: Advances in Stochastic Modelling and Data Analysis
ISBN: 0792335643 ISBN-13(EAN): 9780792335641
Издательство: Springer
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Цена: 111760.00 T
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Описание: This text presents developments in the field, together with their applications, in the areas of insurance, finance, forecasting and marketing. The possible interactions between data analysis, artificial intelligence, decision-support systems and multicriteria analysis are also examined.

Автор: L. Gerencser; P. E. Caines
Название: Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control
ISBN: 3540541330 ISBN-13(EAN): 9783540541332
Издательство: Springer
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Цена: 113190.00 T
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Описание: This volume contains a collection of survey papers in the areas of modelling, estimation and adaptive control of stochastic systems. It provides information on recent research and describes efforts to develop a systematic theory of identification and adaptive control.

Автор: Uday B. Desai
Название: Modelling and Application of Stochastic Processes
ISBN: 1461294002 ISBN-13(EAN): 9781461294009
Издательство: Springer
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Цена: 194730.00 T
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Описание: (i) the state variables are orthogonal, and (ii) the system matrices for the (n + l)st order realization contain as their "upper" n-th order blocks the system matrices from the n-th order realization (nesting property).

Автор: Alfredo Germani
Название: Stochastic Modelling and Filtering
ISBN: 354017575X ISBN-13(EAN): 9783540175759
Издательство: Springer
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Цена: 113190.00 T
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Автор: Anthony H. Christer; Shunji Osaki; Lyn C. Thomas
Название: Stochastic Modelling in Innovative Manufacturing
ISBN: 354061768X ISBN-13(EAN): 9783540617686
Издательство: Springer
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Цена: 139310.00 T
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Описание: This monograph contains some ofthe papers presented at a UK-Japanese Workshop on Stochastic Modelling in Innovative Manufacturing held at Churchill College, Cambridge on July 20 and 21st 1995, sponsored jointly by the UK Engineering and Physical Science Research Council and the British Council.

Автор: Parzen, Emanuel
Название: Stochastic processes
ISBN: 0898714419 ISBN-13(EAN): 9780898714418
Издательство: Mare Nostrum (Eurospan)
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Цена: 64370.00 T
Наличие на складе: Нет в наличии.
Описание: This introductory textbook explains how and why probability models are applied to scientific fields such as medicine, biology, physics, oceanography, economics, and psychology to solve problems about stochastic processes. It does not just show how a problem is solved but explains why by formulating questions and first steps in the solutions.

Автор: Cont, Tankov
Название: Financial modelling with jump processes
ISBN: 1584884134 ISBN-13(EAN): 9781584884132
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: Presents an overview of the theoretical, numerical, and empirical aspects of using jump processes in financial modeling. This book demonstrates that the concepts and tools necessary for understanding and implementing models with jumps can be more intuitive that those involved in the Black Scholes and diffusion models.