Statistical computing in nuclear imaging. (2015)

• Record Type: Book
• Further Information: Note: Arkadiusz Sitek.
• Authors: Sitek, Arkadiusz
• Contents: Basic Statistical Concepts; Introduction; Before- and After-the-Experiment Concepts; Definition of Probability; Joint and Conditional Probabilities; Statistical Model; Likelihood; Pre-Posterior and Posterior; Extension to Multi–Dimensions; Unconditional and Conditional Independence; Summary; ; Elements of Decision Theory; Introduction; Loss Function and Expected Loss; After-the-Experiment Decision Making; Before-the-Experiment Decision Making; Robustness of the Analysis; ; Counting Statistics; Introduction to Statistical Models; Fundamental Statistical Law; Exact Models of Photon-Limited Data; Poisson Approximation; Normal Distribution Approximation; ; Monte Carlo Methods in Posterior Analysis; Monte Carlo Approximations of Distributions; Monte Carlo Integrations; Monte Carlo Summations; Markov Chains; ; Basics of Nuclear Imaging; Nuclear Radiation; Radiation Detection in Nuclear Imaging; Nuclear Imaging; Dynamic Imaging and Kinetic Modeling; Applications of Nuclear Imaging; ; Statistical Computing; Computing Using Poisson-Multinomial Statistics; Examples of Statistical Computing; ; Appendix A Probability Distributions; Appendix B Elements of Set Theory; Appendix C Multinomial Distribution of Single-Voxel Imaging; Appendix D Derivations of Sampling Distribution Ratios; Appendix E Equation (6.11); Appendix F C++ Code of the OE Algorithm for STS; References
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2015
• Extent: 1 online resource
• Subjects: 616.075480285; Magnetic resonance imaging -- Technological innovations; Magnetic resonance imaging -- Statistical methods; Medical statistics -- Data processing
• Languages: English
• ISBNs: 9781498729307; 9781439849361
• Related ISBNs: 9781439849347
• Notes: Note: Description based on CIP data; item not viewed.
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