@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",

}