Stochastic Population Processes - Analysis, Approximations, Simulations

Informationen zum Autor Eric Renshaw graduated from Imperial College, London with a B.Sc. in Mathematics, studied for the Diploma in Statistics at Manchester University, and then researched for his M.Phil. and Ph.D. degrees in spatial stochastic population processes at Sussex and Edinburgh Universities. He joined the staff of Edinburgh University in 1969, first as lecturer and then senior lecturer, before taking up the position of Professor of Statistics at the University of Strathclyde in 1991 where he remained until his retirement at the end of 2007. He was then awarded an Emeritus Professorship there and continues to take an active research interest in applied probability problems. He was elected to membership of The International Statistical Institute in 1984, and The Royal Society of Edinburgh in 1995, and as an author of over 100 papers on temporal and spatial-temporal stochastic process he is an internationally recognised authority in this field. Klappentext A reference text presenting stochastic processes and a range of approximation and simulation techniques for extracting behavioural information in the context of stochastic population dynamics. Zusammenfassung A reference text presenting stochastic processes and a range of approximation and simulation techniques for extracting behavioural information in the context of stochastic population dynamics. Inhaltsverzeichnis Preface 1: Introduction 2: Simple Markov Population Processes 3: General Markov Population Processes 4: The Random Walk 5: Markov Chains 6: Markov Processes in Continuous Time and Space 7: Modelling Bivariate Processes 8: Two-Species Interaction Processes 9: Spatial Processes 10: Spatial-Temporal Extensions References Index

Product details

• Authors: Eric Renshaw, Eric (Emeritus Professor of Statistics Renshaw, Renshaw Eric
• Publisher: Oxford University Press
• Languages: English
• Product format: Paperback / Softback
• Released: 19.03.2015
• EAN: 9780198739067
• ISBN: 978-0-19-873906-7
• No. of pages: 672
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; SOCIAL SCIENCE / Demography, SCIENCE / Life Sciences / Ecology, SOCIAL SCIENCE / Research, MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Applied, TECHNOLOGY & ENGINEERING / Engineering (General), SOCIAL SCIENCE / Statistics, Applied ecology, Probability & statistics, Applied mathematics, Engineering: general, Population and Demography, Probability and statistics, Social research and statistics