Statistical computing in nuclear imaging /

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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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Sitek, Arkadiusz (Author)
Format: Electronic eBook
Language:Inglés
Published: Boca Raton : CRC Press, 2015.
Series:Series in medical physics and biomedical engineering.
Subjects:
Magnetic resonance imaging > Technological innovations.
Magnetic resonance imaging > Statistical methods.
Medical statistics > Data processing.
Radioisotope scanning.
Radionuclide Imaging
Bayes Theorem
Mathematical Computing
Imagerie par résonance magnétique > Innovations.
Imagerie par résonance magnétique > Méthodes statistiques.
Scintigraphie.
Théorème de Bayes.
HEALTH & FITNESS > Diseases > General.
MEDICAL > Clinical Medicine.
MEDICAL > Diseases.
MEDICAL > Evidence-Based Medicine.
MEDICAL > Internal Medicine.
Radioisotope scanning
Medical statistics > Data processing
Online Access:Texto completo
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Table of Contents:
  • 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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