Complex stochastic systems and engineering : based on the proceedings of a Conference on Complex Stochastic Systems and Engineering, organized by the Institute of Mathematics and Its Applications and the Royal Statistical Society, and held at the University of Leeds in September 1993
著者
書誌事項
Complex stochastic systems and engineering : based on the proceedings of a Conference on Complex Stochastic Systems and Engineering, organized by the Institute of Mathematics and Its Applications and the Royal Statistical Society, and held at the University of Leeds in September 1993
（The Institute of Mathematics and its Applications conference series, new ser. 54）
Clarendon Press , Oxford University Press, 1995
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注記
Includes bibliographical references
内容説明・目次
内容説明
Many topics that make up current research in statistics are also important to some branches of engineering. This text arose out of a conference that provided a forum for UK researchers in both communities. The work is divided into four sections on chaos, image analysis, Monte Carlo methods and communications networks, all of which involve the modelling or analysis of complicated, non-deterministic phenomena.
目次
- Chaos
- D.S. Broomhead: Nonlinear signal processing
- M.R. Owen, M.G.M. Gomes and G.P. King: Detecting symmetric chaos
- A.J. Lawrance and N.M. Spencer: Stochastically reversed chaotic map models
- P. Mars, J.R. Chen and V. Thornley: Theory and application of synchronized chaotic systems to communication systems
- H.P. Wynn and A.A. Zhigljavsky: Chaos in search: the Golden Section, normal numbers and ergodically fast line-search
- Image Analysis
- D.M. Titterington: Overview: Image analysis
- K.V. Mardia, S. Rabe and J.T. Kent: Statistics, shape and images
- M. Petrou: Accelerated optimization in image processing via the Renormalization Group Transformation
- P. Clifford and G.K. Nicholls: Bayesian inference for vector-based images
- U. Lorz: Statistics for the spatial Poisson-Voronoi tessellation
- K.V. Mardia and W. Qian: Bayesian method for compact object recognition from noisy images
- D.B. Phillips and A.F.M. Smith: Bayesian deformable templates
- D. Hitchcock and C.A. Glasbey: Binary image restoration at sub-pixel resolution from multi-level data
- A.I. Sutherland and D.M. Titterington: Bayesian analysis of image sequences
- Monte Carlo Methods
- P.J. Green: Overview: Monte Carlo methods
- M. Jerrum: The Markov chain Monte Carlo method: analytical techniques and applications
- C. Jennison, L. Franconi and N. Sheehan: Stochastic optimization: simulated annealing and the genetic algorithm
- Networks
- F.P. Kelly: Overview: Networks
- F.P. Kelly: Mathematical models of multiservice networks
- P.B. Key: Admission control problems in telecommunications
- C.R. Abbess and P. Roberg: Fractal structure of traffic jam images
- R.J. Gibbens and P.C. Reichl: Performance bounds applied to loss networks
- C.N. Laws: Routing in diverse queueing networks
- Miscellaneous Abstracts
- P.A. Scarf, R.D. Baker and W. Wang: Estimating optimum inspection intervals for a repairable system using a delay-time model
- D. Wulfsohn: Stochastic geometry of root growth in agricultural soils.
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