@inbook{62937b41d03147ee9a90cf700e6aa2f9,
title = "Model Comparison with Energy Confinement Data from Large Fusion Experiments",
abstract = "Bayesian probability theory is applied to the model selection problem in describing the energy confinement of a fusion plasma by scaling laws. Here several possible physical scenarios lead to different models with a certain number of free parameters which are used to assign dimensional information to the scaling law. Using a recently assembled database of the W7-AS stellar ator magnetic confinement device a dimensionally constrained analysis is performed. Probabilities for all models and the associated exponents of a power law scaling function are presented.",
keywords = "Artificial Intelligence (incl. Robotics), Coding and Information Theory, Discrete Mathematics in Computer Science, model comparison, Plasma Energy Confinement, Probability Theory and Stochastic Processes, Scaling Law Exponents, Statistics, general",
author = "R. Preuss and V. Dose and Linden, {W. Von Der}",
note = "DOI: 10.1007/978-94-011-5028-611",
year = "1998",
language = "English",
isbn = "978-94-010-6111-7 978-94-011-5028-6",
series = "Fundamental Theories of Physics",
publisher = "Springer Netherlands",
pages = "137--145",
editor = "Erickson, {Gary J.} and Rychert, {Joshua T.} and Smith, {C. Ray}",
booktitle = "Maximum Entropy and Bayesian Methods",
address = "Netherlands",
}