Stochastic Processes : Modelling and Simulation

Modelling and numerical methods in manufacturing systems using control theory, E.K. Boukas, Z.K. Liu; models of random graphs and their applications, C. Cannings, D.B. Penman; locally self-similar processes and their wavelet analysis, J.E. Cavanaugh, Y. Wang, J.W. Davis; stochastic models for DNA replications, R. Cowan; an empirical process with applications to test exponential and geometric models, J.E. Ferreira; patterns of sequences of random events, J. Gani; stochastic models in telecommunications for optimal design, control and performance evaluation, N. Gautam; stochastic processes in epidemic modelling and simulation, D. Greenhalgh; inference and simulation for random fields, P. Greenwood, W. Wefelmeyer; modelling self-similarity - fractals and stochastic processes, B.M. Hambly; numerical methods in queueing theory, D. Heyman; applications of Markov chains to the distribution theory of runs and patterns, M.V. Koutras; modelling image analysis problems using Markov random fields, S.Z. Li; semi-Markov processes in reliability, N. Limnios, G. Oprisan; departures and related characteristics in queueing models, M. Manoharan, M.H. Alamatsaz, D.N. Shanbhag; discrete variate time series, E.D. McKenzie; extreme value theory, models and simulation, S.Nadarajah; biological applications of branching processes, A.G. Pakes; Markov chain approaches to damage models, C.R. Rao, M. Albassam, M.B. Rao, D.N. Shanbhag; point processes in astronomy - exciting events in the universe, J.D. Scargle, G.J. Babu; on the theory of discrete and continuous parameter biliniear random processes, T. Subba Rao, G. Terdic; non-linear and non-Gaussian state-space modelling with Monte Carlo techniques - a survey and comparative study, H. Tanizaki; Markov modelling of burst behaviour in ion channels, G.F. Yeo, R.K. Milne, B.W. Madsen, Y. Li, R.O. Edeson.