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
Summary
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.
Bibliography
Includes bibliographical references (pages 231-238) and index.