Inference from Small Scale Properties to Large Scale Systems
The overall purpose of this book is to examine several broad questions in general systems theory and to suggest areas of application for the approach used. This volume offers a unique statistical approach, utilizing populations of models in the analysis of complex systems. With this novel method, called Ensemble Modeling, the book enables researchers to infer the behavioural properties of a system from small scale details.
Table of Contents
Introduction, Formalising the Modelling Framework, Switching Net Models, Theoretical Results on the Behaviour of Switching Newt Models, Empirical Studies of Ensembles of Simple Switching Nets, Interpretation, Index.
Alan E. Gelfand, Department of Statistics; Crayton C. Walker, Department of Information Management. The University of Connecticut.