Statistical computing in nuclear imaging /
Basic Statistical Concepts Introduction Before- and After-the-Experiment ConceptsDefinition of ProbabilityJoint and Conditional ProbabilitiesStatistical Model Likelihood Pre-Posterior and Posterior Extension to Multi-Dimensions Unconditional and Conditional IndependenceSummaryElements of Decision Th...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Boca Raton :
CRC Press,
2015.
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Colección: | Series in medical physics and biomedical engineering.
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Temas: | |
Acceso en línea: | Texto completo Texto completo |
MARC
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100 | 1 | |a Sitek, Arkadiusz, |e author. | |
245 | 1 | 0 | |a Statistical computing in nuclear imaging / |c Arkadiusz Sitek. |
264 | 1 | |a Boca Raton : |b CRC Press, |c 2015. | |
300 | |a 1 online resource | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 1 | |a Series in medical physics and biomedical engineering | |
588 | 0 | |a CIP data; item not viewed. | |
505 | 0 | |a 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 | |
505 | 8 | |a Appendix D Derivations of sampling distribution ratiosAppendix E Equation (6.11); Appendix F C++ OE code for STS; References; Back Cover | |
520 | |a Basic Statistical Concepts Introduction Before- and After-the-Experiment ConceptsDefinition of ProbabilityJoint and Conditional ProbabilitiesStatistical Model Likelihood Pre-Posterior and Posterior Extension to Multi-Dimensions Unconditional and Conditional IndependenceSummaryElements of Decision Theory Introduction Loss Function and Expected Loss After-the-Experiment Decision Making Before-the-Experiment Decision MakingRobustness of the Analysis Counting Statistics Introduction to Statistical Models Fundamental Statistical Law Exact Models of Photon-Limited DataPoisson Approximation Normal Di. | ||
504 | |a Includes bibliographical references (pages 231-238) and index. | ||
590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
650 | 0 | |a Magnetic resonance imaging |x Technological innovations. | |
650 | 0 | |a Magnetic resonance imaging |x Statistical methods. | |
650 | 0 | |a Medical statistics |x Data processing. | |
650 | 0 | |a Radioisotope scanning. | |
650 | 2 | |a Radionuclide Imaging | |
650 | 2 | |a Bayes Theorem | |
650 | 2 | |a Mathematical Computing | |
650 | 6 | |a Imagerie par résonance magnétique |x Innovations. | |
650 | 6 | |a Imagerie par résonance magnétique |x Méthodes statistiques. | |
650 | 6 | |a Scintigraphie. | |
650 | 6 | |a Théorème de Bayes. | |
650 | 7 | |a HEALTH & FITNESS |x Diseases |x General. |2 bisacsh | |
650 | 7 | |a MEDICAL |x Clinical Medicine. |2 bisacsh | |
650 | 7 | |a MEDICAL |x Diseases. |2 bisacsh | |
650 | 7 | |a MEDICAL |x Evidence-Based Medicine. |2 bisacsh | |
650 | 7 | |a MEDICAL |x Internal Medicine. |2 bisacsh | |
650 | 7 | |a Radioisotope scanning |2 fast | |
650 | 7 | |a Medical statistics |x Data processing |2 fast | |
776 | 0 | 8 | |i Print version: |z 9781439849347 |
830 | 0 | |a Series in medical physics and biomedical engineering. | |
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