Physics – Data Analysis – Statistics and Probability
Scientific paper
2008-08-19
Physics
Data Analysis, Statistics and Probability
31 pages, 10 figures
Scientific paper
We describe the development of a new toolkit for data analysis. The analysis package is based on Bayes' Theorem, and is realized with the use of Markov Chain Monte Carlo. This gives access to the full posterior probability distribution. Parameter estimation, limit setting and uncertainty propagation are implemented in a straightforward manner. A goodness-of-fit criterion is presented which is intuitive and of great practical use.
Caldwell Allen
Kollar Daniel
Kroeninger Kevin
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