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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
Main Author: Sitek, Arkadiusz (Author)
Format: eBook
Language:English
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.
Online Access:Connect to the full text of this electronic book
Description
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.
Physical Description:1 online resource
Bibliography:Includes bibliographical references (pages 231-238) and index.
ISBN:9781498729307
1498729304
1439849366
9781439849361
9780429091544
0429091540