Condizione: New.
Condizione: New.
Hardback. Condizione: As new. xxiv + 251 pp. Series in Medical Physics and Biomedical Engineering. book.
Da: Majestic Books, Hounslow, Regno Unito
EUR 64,72
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Aggiungi al carrelloCondizione: New.
Condizione: As New. Unread book in perfect condition.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
EUR 63,47
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 185.
EUR 60,69
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 67,95
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Aggiungi al carrelloCondizione: New. In.
EUR 66,85
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Aggiungi al carrelloPF. Condizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 73,05
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Aggiungi al carrelloCondizione: New.
Condizione: New. pp. 279.
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Aggiungi al carrelloCondizione: New. pp. 279.
EUR 90,36
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Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 251 pages. 9.00x6.00x0.75 inches. In Stock.
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Aggiungi al carrelloCondizione: New. pp. 279.
EUR 127,21
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: New.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: As New. Unread book in perfect condition.
EUR 127,20
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Aggiungi al carrelloCondizione: New.
EUR 132,54
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EUR 140,41
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 580.
EUR 143,18
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Aggiungi al carrelloGebunden. Condizione: New. Arkadiusz Sitek is an associate physicist at Massachusetts General Hospital in Boston and an assistant professor at Harvard Medical School. He received his doctorate from the University of British Columbia in Canada and since 2001 has wo.
EUR 176,75
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - This book is highly focused on computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements in nuclear imaging. Basic Bayesian statistical concepts, elements of Bayesian decision theory, and counting statistics are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior analysis are discussed next along with an introduction to nuclear imaging and applications such as PET and SPECT. The final chapter includes illustrative examples of statistical computing based on Poisson-multinomial statistics. Examples include calculation of Bayes factors and risks, and Bayesian decision making and hypothesis testing. C++ code used in the final chapter is also provided.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 70,23
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: moluna, Greven, Germania
EUR 56,83
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Arkadiusz Sitek is an associate physicist at Massachusetts General Hospital in Boston and an assistant professor at Harvard Medical School. He received his doctorate from the University of British Columbia in Canada and since 2001 has wo.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 90,18
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to Bayesian statistics and concepts and is highly focused on the computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements.Basic statistical concepts, elements of decision theory, and counting statistics, including models of photon-limited data and Poisson approximations, are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior analysis are discussed next along with an introduction to nuclear imaging and applications such as PET and SPECT.The final chapter includes illustrative examples of statistical computing, based on Poisson-multinomial statistics. Examples include calculation of Bayes factors and risks as well as Bayesian decision making and hypothesis testing. Appendices cover probability distributions, elements of set theory, multinomial distribution of single-voxel imaging, and derivations of sampling distribution ratios. C++ code used in the final chapter is also provided.The text can be used as a textbook that provides an introduction to Bayesian statistics and advanced computing in medical imaging for physicists, mathematicians, engineers, and computer scientists. It is also a valuable resource for a wide spectrum of practitioners of nuclear imaging data analysis, including seasoned scientists and researchers who have not been exposed to Bayesian paradigms.