Stochastic Models In Geosystems
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Stochastic Models In Geosystems
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Author : Stanislav A. Molchanov
language : en
Publisher: Springer
Release Date : 2011-11-12
Stochastic Models In Geosystems written by Stanislav A. Molchanov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-12 with Science categories.
This IMA Volume in Mathematics and its Applications STOCHASTIC MODELS IN GEOSYSTEMS is based on the proceedings of a workshop with the same title and was an integral part of the 1993-94 IMA program on "Emerging Applications of Probability." We would like to thank Stanislav A. Molchanov and Wojbor A. Woyczynski for their hard work in organizing this meeting and in edit ing the proceedings. We also take this opportunity to thank the National Science Foundation, the Office of N aval Research, the Army Research Of fice, and the National Security Agency, whose financial support made this workshop possible. A vner Friedman Willard Miller, Jr. v PREFACE A workshop on Stochastic Models in Geosystems was held during the week of May 16, 1994 at the Institute for Mathematics and Its Applica tions at the University of Minnesota. It was part of the Special Year on Emerging Applications of Prob ability program put together by an organiz ing committee chaired by J. Michael Steele. The invited speakers represented a broad interdisciplinary spectrum including mathematics, statistics, physics, geophysics, astrophysics, atmo spheric physics, fluid mechanics, seismology, and oceanography. The com mon underlying theme was stochastic modeling of geophysical phenomena and papers appearing in this volume reflect a number of research directions that are currently pursued in these areas.
Stochastic Models In Geosystems
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Author : Stanislav A. Molchanov
language : en
Publisher: Springer
Release Date : 1997
Stochastic Models In Geosystems written by Stanislav A. Molchanov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Mathematics categories.
This volume contains edited proceedings of a workshop on Stochastic Models in Geosystems held at the Institute for Mathematics and Its Applications at the University of Minnesota. The authors represent a broad interdisciplinary spectrum including mathematics, statistics, physics, geophysics, astrophysics, atmospheric physics, fluid mechanics, seismology, and oceanography.
Emerging Applications Of Probability Stochastic Models In Geosystems
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Author :
language : en
Publisher:
Release Date : 1994
Emerging Applications Of Probability Stochastic Models In Geosystems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.
The workshop was devoted to several of the most active topics in this area and, in particular, covered: Probabilistic models in geophysics including hierarchical models for geophysical structures, homogenization of random elastic media, propagation of seismic waves, statistical methods for estimation of parameters of seismic waves, prediction problems for seismic phenomena and other geophysical fields. Modern probabilistic and statistical methods in oceanography and atmospheric sciences including: probabilistic and statistical mechanical models of large scale ocean circulation, random fields and stochastic partial differential equations techniques, waves in the ocean in presence of random topography and random forcing, random field modeling of salinity, temperature and other physical fields, weak turbulence. Prediction problems. Distribution functions for vorticity, velocity and dissipation rates. Intermittency and structure functions. Singularities in Euler equations and their relation to turbulence. Turbulent cascades and martingales.
Selected Topics On Stochastic Modelling
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Author : Mariano J Valderrama Bonnet
language : en
Publisher: World Scientific
Release Date : 1994-09-30
Selected Topics On Stochastic Modelling written by Mariano J Valderrama Bonnet and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-09-30 with categories.
This volume contains a selection of papers on recent developments in fields such as stochastic processes, multivariate data analysis and stochastic models in operations research, earth and life sciences and information theory, from an applicative perspective. Some of them have been extracted from lectures given at the Department of Statistics and Operations Research at the University of Granada for the past two years (Kai Lai Chung and Marcel F Neuts, among others). All the papers have been carefully selected and revised.
Stochastic Models Analysis And Applications
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Author : B. R. Bhat
language : en
Publisher: New Age International
Release Date : 2004
Stochastic Models Analysis And Applications written by B. R. Bhat and has been published by New Age International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Mathematical statistics categories.
The Book Presents A Systematic Exposition Of The Basic Theory And Applications Of Stochastic Models.Emphasising The Modelling Rather Than Mathematical Aspects Of Stochastic Processes, The Book Bridges The Gap Between The Theory And Applications Of These Processes.The Basic Building Blocks Of Model Construction Are Explained In A Step By Step Manner, Starting From The Simplest Model Of Random Walk And Proceeding Gradually To More Complicated Models. Several Examples Are Given Throughout The Text To Illustrate Important Analytical Properties As Well As To Provide Applications.The Book Also Includes A Detailed Chapter On Inference For Stochastic Processes. This Chapter Highlights Some Of The Recent Developments In The Subject And Explains Them Through Illustrative Examples.An Important Feature Of The Book Is The Complements And Problems Section At The End Of Each Chapter Which Presents (I) Additional Properties Of The Model, (Ii) Extensions Of The Model, And (Iii) Applications Of The Model To Different Areas.With All These Features, This Is An Invaluable Text For Post-Graduate Students Of Statistics, Mathematics And Operation Research.
Stochastic Climate Models
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Author : Peter Imkeller
language : en
Publisher: Birkhäuser
Release Date : 2012-12-06
Stochastic Climate Models written by Peter Imkeller and has been published by Birkhäuser this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
A collection of articles written by mathematicians and physicists, designed to describe the state of the art in climate models with stochastic input. Mathematicians will benefit from a survey of simple models, while physicists will encounter mathematically relevant techniques at work.
Stochastic Modelling In Physical Oceanography
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Author : Robert Adler
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Stochastic Modelling In Physical Oceanography written by Robert Adler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
The study of the ocean is almost as old as the history of mankind itself. When the first seafarers set out in their primitive ships they had to understand, as best they could, tides and currents, eddies and vortices, for lack of understanding often led to loss of live. These primitive oceanographers were, of course, primarily statisticians. They collected what empirical data they could, and passed it down, ini tially by word of mouth, to their descendants. Data collection continued throughout the millenia, and although data bases became larger, more re liable, and better codified, it was not really until surprisingly recently that mankind began to try to understand the physics behind these data, and, shortly afterwards, to attempt to model it. The basic modelling tool of physical oceanography is, today, the partial differential equation. Somehow, we all 'know" that if only we could find the right set of equations, with the right initial and boundary conditions, then we could solve the mysteries of ocean dynamics once and for all.
Stochastic Models In Operations Research
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Author : Daniel P. Heyman
language : en
Publisher: Courier Corporation
Release Date : 2004-01-01
Stochastic Models In Operations Research written by Daniel P. Heyman and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Mathematics categories.
This volume of a 2-volume set explores the central facts and ideas of stochastic processes, illustrating their use in models based on applied and theoretical investigations. Explores stochastic processes, operating characteristics of stochastic systems, and stochastic optimization. Comprehensive in its scope, this graduate-level text emphasizes the practical importance, intellectual stimulation, and mathematical elegance of stochastic models.
Stochastic Models Estimation And Control V 1
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Author : Maybeck
language : en
Publisher: Academic Press
Release Date : 1979-07-17
Stochastic Models Estimation And Control V 1 written by Maybeck and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979-07-17 with Mathematics categories.
Stochastic Models: Estimation and Control: v. 1
Stochastic Modeling Of Scientific Data
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Author : Peter Guttorp
language : en
Publisher: CRC Press
Release Date : 1995-08-01
Stochastic Modeling Of Scientific Data written by Peter Guttorp and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-08-01 with Mathematics categories.
Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common models, such as point processes, Markov random fields and hidden Markov models in a clear, thoughtful and succinct manner. The distinguishing feature of this work is that, in addition to probability theory, it contains statistical aspects of model fitting and a variety of data sets that are either analyzed in the text or used as exercises. Markov chain Monte Carlo methods are introduced for evaluating likelihoods in complicated models and the forward backward algorithm for analyzing hidden Markov models is presented. The strength of this text lies in the use of informal language that makes the topic more accessible to non-mathematicians. The combinations of hard science topics with stochastic processes and their statistical inference puts it in a new category of probability textbooks. The numerous examples and exercises are drawn from astronomy, geology, genetics, hydrology, neurophysiology and physics.