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| Publisher | Taylor & Francis Inc |
| Author | Arkadiusz Sitek |
| Language | English |
| Edition Number | 1 |
| Number of Pages | 275 |
| ISBN 13 | 9781439849347 |
| Book Format | Paperback |
| Book Description | Statistical computing in nuclear imaging introduces aspects of bayesian computing in nuclear imaging the book provides an introduction to bayesian statistics and concepts and is highly focused on the computational aspects of bayesian data analysis of photonlimited data acquired in tomographic measurements basic statistical concepts elements of decision theory and counting statistics including models of photonlimited data and poisson approximations are discussed in the first chapters monte carlo methods and markov chains in posterior analysis are discussed next along with an introduction to nuclear imaging and applications such as pet and spect the final chapter includes illustrative examples of statistical computing based on poissonmultinomial statistics examples include calculation of bayes factors and risks as well as bayesian decision making and hypothesis testing |
| Publication Date | 12/30/2014 |
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