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Continuum Percolation by Ronald Meester 9780521475044
RRP: €135.66Booksplease Price: €131.08Many phenomena in physics, chemistry, and biology can be modelled by spatial random processes. One such process is continuum percolation, which is used when the phenomenon being modelled is made up... -
Continuum Percolation by Ronald Meester 9780521062503
RRP: €61.88Booksplease Price: €60.36Many phenomena in physics, chemistry, and biology can be modelled by spatial random processes. One such process is continuum percolation, which is used when the phenomenon being modelled is made up... -
A Natural Introduction to Probability Theory by Ronald Meester 9783764387235
Booksplease Price: €55.07Compactly written, but nevertheless very readable, appealing to intuition, this introduction to probability theory is an excellent textbook for a one-semester course for undergraduates in any... -
Probability and Forensic Evidence: Theory, Philosophy, and Applications by Ronald Meester
RRP: €52.36Booksplease Price: €48.54This book addresses the role of statistics and probability in the evaluation of forensic evidence, including both theoretical issues and applications in legal contexts. It discusses what evidence is... -
Fact or Fluke?: A Critical Look at Statistical Evidence by Ronald Meester 9789463723497
RRP: €28.50Booksplease Price: €26.98Statistics is more topical than ever. Numerous decisions depend on statistical considerations: just think of the Corona crisis or decisions about approving new drugs or other products. If researchers... -
Probability and Forensic Evidence: Theory, Philosophy, and Applications by Ronald Meester 9781108428279
RRP: €97.58Booksplease Price: €93.38This book addresses the role of statistics and probability in the evaluation of forensic evidence, including both theoretical issues and applications in legal contexts. It discusses what evidence is... -
Random Networks for Communication: From Statistical Physics to Information Systems by Massimo Franceschetti 9780521854429
RRP: €95.20Booksplease Price: €90.92When is a random network (almost) connected? How much information can it carry? How can you find a particular destination within the network? And how do you approach these questions - and others -...