An edition of Complex Stochastic Systems and Engineering (1995)

Complex stochastic systems and engineering

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Cover of: Complex stochastic systems and engineering by D. Michael Titterington
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An edition of Complex Stochastic Systems and Engineering (1995)

Complex stochastic systems and engineering

by

  • 1 Want to read

Many topics that make up current research in statistics are also important to some branches of engineering sciences. This book, based on a conference, provides examples of the rich cross-fertilization evident between statistics and engineering. Current research and contributions from leading
experts fall into four areas: chaos, image analysis, Monte Carlo methods, and communication networks, each featuring an overview of the papers to follow as well as a summary of the state of the research area. It will be of interest to those involved in statistics, electrical engineering, and
computer science.

Publish Date
Publisher
Oxford University Press
Language
English
Pages
312

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Subjects

Stochastic processes Mathematical statistics Stochastic analysis Random variables
Edition Availability
Cover of: Complex stochastic systems and engineering
Complex stochastic systems and engineering
1995, Oxford University Press
Hardcover in English
Cover of: Complex Stochastic Systems and Engineering
Complex Stochastic Systems and Engineering
June 8, 1995, Oxford University Press, USA
in English

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Book Details

Table of Contents

- I: CHAOS
- Overview: Chaos, H. Tong
- Nonlinear signal processing, D.S. Broomhead
- Detecting symmetric chaos, M.R. Owen, M.G.M. Gomes and G.P. King
- Stochastically reversed chaotic map models, A.J. Lawrance and N.M. Spencer
- Theory and application of synchronised chaotic systems to communication systems, P. Mars, J.R. Chen and V. Thornley
- Chaos in search: the Golden Section, normal numbers and ergodically fast line-search, H.P. Wynn and A.A. Zhigljavsky
- II: IMAGE ANALYSIS
- Overview: Image analysis, D.M. Titterington
- Statistics, shape and images, K.V. Mardia, S. Rabe and J.T. Kent
- Accelerated optimization in Image Processing via the Renormalization Group Transformation, M. Petrou
- Bayesian inference for vector-based images, P. Clifford and G.K. Nicholls
- Statistics for the spatial Poisson-Voronoi tessellation, U. Lorz
- Bayesian method for compact object recognition from noisy images, K.V. Mardia and W. Qian
- Bayesian deformable templates, D.B. Phillips and A.F.M. Smith
- Binary image restoration at sub-pixel resolution from multi-level data, D. Hitchcock and C.A. Glasbey
- Bayesian analysis of image sequences, A.I. Sutherland and D.M. Titterington
- III: MONTE CAROL METHODS
- Overview: Monte Carlo methods, P.J. Green
- The "Markov chain Monte Carlo" method: analytical techniques and applications, M. Jerrum
- Stochastic optimisation: simulated annealing and the genetic algorithm, C. Jennison, L. Franconi and N. Sheehan
- IV: NETWORKS
- Overview: Networks, F.P. Kelly
- Mathematical models of multiservice networks, F.P. Kelly
- Admission control problems in telecommunications, P.B. Key
- Fractal structure of traffic jam images, C.R. Abbess and P. Roberg
- Performance bounds applied to loss networks, R.J. Gibbens and P.C. Reichl
- Routing in diverse queueing networks, C.N. Laws
- V: MISCELLANEOUS ABSTRACTS
- Estimating optimum inspection intervals for a repairable system using a delay-time model, P.A. Scarf, R.D. Baker and W. Wang
- Stochastic geometry of root growth in agricultural soils, D. Wulfsohn

Edition Notes

Based on the proceedings of a conference organized by the Institute of Mathematics and its Applications and the Royal Statistical Society, held at the University of Leeds in September 1993.

Published in
Oxford
Series
The Institute of Mathematics and its Applications. Conference series : New series -- No. 54

Classifications

Dewey Decimal Class
519.2

The Physical Object

Format
Hardcover
Pagination
xiii, 296 pages : illustrations ; 25 cm.
Number of pages
312
Weight
2 pounds

Edition Identifiers

Open Library
OL22528999M
ISBN 10
019853485X
Goodreads
3046228

Work Identifiers

Work ID
OL5477016W

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