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Record Nr. |
UNINA9910797021303321 |
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Autore |
Sitek Arkadiusz |
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Titolo |
Statistical computing in nuclear imaging / / by Arkadiusz Sitek |
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Pubbl/distr/stampa |
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Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2014 |
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ISBN |
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0-429-09154-0 |
1-4987-2930-4 |
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Edizione |
[First edition.] |
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Descrizione fisica |
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1 online resource (264 p.) |
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Collana |
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Series in medical physics and biomedical engineering |
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Disciplina |
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Soggetti |
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Magnetic resonance imaging - Technological innovations |
Magnetic resonance imaging - Statistical methods |
Medical statistics - Data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (pages 231-238) and index. |
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Nota di contenuto |
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Front Cover; Statistical Computing in Nuclear Imaging; Series in Medical Physics and Biomedical Engineering; Dedication; Contents; List of Figures; List of Tables; About the Series; Preface; About the Author; Chapter 1 Basic statistical concepts; Chapter 2 Elements of decision theory; Chapter 3 Counting statistics; Chapter 4 Monte Carlo methods in posterior analysis; Chapter 5 Basics of nuclear imaging; Chapter 6 Statistical computing; Appendix A Probability distributions; Appendix B Elements of set theory; Appendix C Multinomial distribution of singlevoxel |
Appendix D Derivations of sampling distribution ratiosAppendix E Equation (6.11); Appendix F C++ OE code for STS; References; Back Cover |
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Sommario/riassunto |
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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 photon-limited data acquired in tomographic measurements. |
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