Random variation is a fact of life that provides substance to a wide range of problems in the sciences, engineering, and economics. There is a growing need in diverse disciplines to model complex patterns of variation and interdependence using random fields, as both deterministic treatment and conventional statistics are often insufficient. An ideal random field model will capture key features of complex random phenomena in terms of a minimum number of physically meaningful and experimentally accessible parameters. This volume, a revised and expanded edition of an acclaimed book first published by the M I T Press, offers a synthesis of methods to describe and analyze and, where appropriate, predict and control random fields. There is much new material, covering both theory and applications, notably on a class of probability distributions derived from quantum mechanics, relevant to stochastic modeling in fields such as cosmology, biology and system reliability, and on discrete-unit or agent-based random processes.Random Fields is self-contained and unified in presentation. The first edition was found, in a review in EOS (American Geophysical Union) to be "both technically interesting and a pleasure to read ... the presentation is clear and the book should be useful to almost anyone who uses random processes to solve problems in engineering or science ... and (there is) continued emphasis on describing the mathematics in physical terms."
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Random Fields is a book which I found both technically interesting and a pleasure to read ... The presentation is clear and the book should be useful to almost anyone who uses random processes to solve problems in engineering or science ... I was particularly impressed with ... the emphasis on utility and the importance of local averages. Chapter 4, `Spectral Parameters, Level Excursions, and Extremes', is an unusually clear and orderly treatment of these topics. It is also refreshing to read a work on stochastic processes where the author emphasizes that microscopic variations may be of no practical interest to the problem at hand! --David J Thomson, Bell Laboratories, New Jersey, USA, in EOS (American Geophysical Union)
The author explains in a clear and thorough way the intricacies of random field modeling. Every time I pick up the book, I discover something new and exciting. I especially like its lucid coverage of the effects of local averaging, which provides an excellent basis for describing the world around us. --Gordon A Fenton Professor of Applied Mathematics Dalhousie University, Canada
As a researcher of the topic of laser beam propagation through random media for the last 35 years, I'm very familiar with random field theory. Vanmarcke's book on this highly complex topic is written in a way that makes the material very accessible. It is a key reference for my students. --Ronald L Phillips Professor Emeritus School of Electrical Engineering and Computer Science University of Central Florida and Kennedy Space Center, Florida, USA
The author explains in a clear and thorough way the intricacies of random field modeling. Every time I pick up the book, I discover something new and exciting. I especially like its lucid coverage of the effects of local averaging, which provides an excellent basis for describing the world around us. --Gordon A Fenton Professor of Applied Mathematics Dalhousie University, Canada
As a researcher of the topic of laser beam propagation through random media for the last 35 years, I'm very familiar with random field theory. Vanmarcke's book on this highly complex topic is written in a way that makes the material very accessible. It is a key reference for my students. --Ronald L Phillips Professor Emeritus School of Electrical Engineering and Computer Science University of Central Florida and Kennedy Space Center, Florida, USA
Random variation is a fact of life that provides substance to a wide range of problems in the sciences, engineering, and economics. There is a growing need in diverse disciplines to model complex patterns of variation and interdependence using random fields, as both deterministic treatment and conventional statistics are often insufficient. An ideal random field model will capture key features of complex random phenomena in terms of a minimum number of physically meaningful and experimentally accessible parameters. This volume, a revised and expanded edition of an acclaimed book first published by the M I T Press, offers a synthesis of methods to describe and analyze and, where appropriate, predict and control random fields. There is much new material, covering both theory and applications, notably on a class of probability distributions derived from quantum mechanics, relevant to stochastic modeling in fields such as cosmology, biology and system reliability, and on discrete-unit or agent-based random processes. Random Fields is self-contained and unified in presentation. The first edition was found, in a review in Eos (American Geophysical Union) to be “both technically interesting and a pleasure to read . . . the presentation is clear and the book should be useful to almost anyone who uses random processes to solve problems in engineering or science . . . and (there is) continued emphasis on describing the mathematics in physical terms.”
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : New. Random variation is a fact of life that provides substance to a wide range of problems in the sciences, engineering, and economics. There is a growing need in diverse disciplines to model complex patterns of variation and interdependence using random fields, as both deterministic treatment and conventional statistics are often insufficient. An ideal random field model will capture key features of complex random phenomena in terms of a minimum number of physically meaningful and experimentally accessible parameters. This volume, a revised and expanded edition of an acclaimed book first published by the M I T Press, offers a synthesis of methods to describe and analyze and, where appropriate, predict and control random fields. There is much new material, covering both theory and applications, notably on a class of probability distributions derived from quantum mechanics, relevant to stochastic modeling in fields such as cosmology, biology and system reliability, and on discrete-unit or agent-based random processes.Random Fields is self-contained and unified in presentation. The first edition was found, in a review in EOS (American Geophysical Union) to be "both technically interesting and a pleasure to read . the presentation is clear and the book should be useful to almost anyone who uses random processes to solve problems in engineering or science . and (there is) continued emphasis on describing the mathematics in physical terms.". N° de réf. du vendeur LU-9789812563538
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Paperback. Etat : new. Paperback. Random variation is a fact of life that provides substance to a wide range of problems in the sciences, engineering, and economics. There is a growing need in diverse disciplines to model complex patterns of variation and interdependence using random fields, as both deterministic treatment and conventional statistics are often insufficient. An ideal random field model will capture key features of complex random phenomena in terms of a minimum number of physically meaningful and experimentally accessible parameters. This volume, a revised and expanded edition of an acclaimed book first published by the M I T Press, offers a synthesis of methods to describe and analyze and, where appropriate, predict and control random fields. There is much new material, covering both theory and applications, notably on a class of probability distributions derived from quantum mechanics, relevant to stochastic modeling in fields such as cosmology, biology and system reliability, and on discrete-unit or agent-based random processes.Random Fields is self-contained and unified in presentation. The first edition was found, in a review in EOS (American Geophysical Union) to be "both technically interesting and a pleasure to read . the presentation is clear and the book should be useful to almost anyone who uses random processes to solve problems in engineering or science . and (there is) continued emphasis on describing the mathematics in physical terms." Random variation is a fact of life that provides substance to a wide range of problems in the sciences, engineering, and economics. This title offers a synthesis of methods to describe and analyze and, where appropriate, predict and control random fields. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9789812563538
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